{"id":"https://openalex.org/W4391141613","doi":"https://doi.org/10.1186/s12859-023-05621-5","title":"Deep evolutionary fusion neural network: a new prediction standard for infectious disease incidence rates","display_name":"Deep evolutionary fusion neural network: a new prediction standard for infectious disease incidence rates","publication_year":2024,"publication_date":"2024-01-23","ids":{"openalex":"https://openalex.org/W4391141613","doi":"https://doi.org/10.1186/s12859-023-05621-5","pmid":"https://pubmed.ncbi.nlm.nih.gov/38262917"},"language":"en","primary_location":{"id":"doi:10.1186/s12859-023-05621-5","is_oa":true,"landing_page_url":"https://doi.org/10.1186/s12859-023-05621-5","pdf_url":"https://bmcbioinformatics.biomedcentral.com/counter/pdf/10.1186/s12859-023-05621-5","source":{"id":"https://openalex.org/S19032547","display_name":"BMC Bioinformatics","issn_l":"1471-2105","issn":["1471-2105"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320256","host_organization_name":"BioMed Central","host_organization_lineage":["https://openalex.org/P4310320256","https://openalex.org/P4310319965"],"host_organization_lineage_names":["BioMed Central","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"BMC Bioinformatics","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj","pubmed"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://bmcbioinformatics.biomedcentral.com/counter/pdf/10.1186/s12859-023-05621-5","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5091452329","display_name":"Tianhua Yao","orcid":null},"institutions":[{"id":"https://openalex.org/I151075929","display_name":"Army Medical University","ror":"https://ror.org/05w21nn13","country_code":"CN","type":"education","lineage":["https://openalex.org/I151075929"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Tianhua Yao","raw_affiliation_strings":["Department of Health Statistics, College of Preventive Medicine, Army Medical University, NO.30 Gaotanyan Street, Shapingba District, Chongqing, 400038, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Health Statistics, College of Preventive Medicine, Army Medical University, NO.30 Gaotanyan Street, Shapingba District, Chongqing, 400038, China","institution_ids":["https://openalex.org/I151075929"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5023394380","display_name":"Xicheng Chen","orcid":"https://orcid.org/0000-0001-5607-3178"},"institutions":[{"id":"https://openalex.org/I151075929","display_name":"Army Medical University","ror":"https://ror.org/05w21nn13","country_code":"CN","type":"education","lineage":["https://openalex.org/I151075929"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xicheng Chen","raw_affiliation_strings":["Department of Health Statistics, College of Preventive Medicine, Army Medical University, NO.30 Gaotanyan Street, Shapingba District, Chongqing, 400038, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Health Statistics, College of Preventive Medicine, Army Medical University, NO.30 Gaotanyan Street, Shapingba District, Chongqing, 400038, China","institution_ids":["https://openalex.org/I151075929"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5084395959","display_name":"Haojia Wang","orcid":"https://orcid.org/0000-0002-1457-8458"},"institutions":[{"id":"https://openalex.org/I151075929","display_name":"Army Medical University","ror":"https://ror.org/05w21nn13","country_code":"CN","type":"education","lineage":["https://openalex.org/I151075929"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Haojia Wang","raw_affiliation_strings":["Department of Health Statistics, College of Preventive Medicine, Army Medical University, NO.30 Gaotanyan Street, Shapingba District, Chongqing, 400038, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Health Statistics, College of Preventive Medicine, Army Medical University, NO.30 Gaotanyan Street, Shapingba District, Chongqing, 400038, China","institution_ids":["https://openalex.org/I151075929"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5039842969","display_name":"Chengcheng Gao","orcid":"https://orcid.org/0000-0003-2067-9586"},"institutions":[{"id":"https://openalex.org/I151075929","display_name":"Army Medical University","ror":"https://ror.org/05w21nn13","country_code":"CN","type":"education","lineage":["https://openalex.org/I151075929"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chengcheng Gao","raw_affiliation_strings":["Department of Health Statistics, College of Preventive Medicine, Army Medical University, NO.30 Gaotanyan Street, Shapingba District, Chongqing, 400038, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Health Statistics, College of Preventive Medicine, Army Medical University, NO.30 Gaotanyan Street, Shapingba District, Chongqing, 400038, China","institution_ids":["https://openalex.org/I151075929"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100416022","display_name":"Jia Chen","orcid":"https://orcid.org/0000-0002-4242-2899"},"institutions":[{"id":"https://openalex.org/I151075929","display_name":"Army Medical University","ror":"https://ror.org/05w21nn13","country_code":"CN","type":"education","lineage":["https://openalex.org/I151075929"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jia Chen","raw_affiliation_strings":["Department of Health Statistics, College of Preventive Medicine, Army Medical University, NO.30 Gaotanyan Street, Shapingba District, Chongqing, 400038, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Health Statistics, College of Preventive Medicine, Army Medical University, NO.30 Gaotanyan Street, Shapingba District, Chongqing, 400038, China","institution_ids":["https://openalex.org/I151075929"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5074901892","display_name":"Dali Yi","orcid":"https://orcid.org/0000-0001-7174-2720"},"institutions":[{"id":"https://openalex.org/I151075929","display_name":"Army Medical University","ror":"https://ror.org/05w21nn13","country_code":"CN","type":"education","lineage":["https://openalex.org/I151075929"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Dali Yi","raw_affiliation_strings":["Department of Health Education, College of Preventive Medicine, Army Medical University, NO.30 Gaotanyan Street, Shapingba District, Chongqing, 400038, China","Department of Health Statistics, College of Preventive Medicine, Army Medical University, NO.30 Gaotanyan Street, Shapingba District, Chongqing, 400038, China","Department of Health Statistics, College of Preventive Medicine, Army Medical University, NO.30 Gaotanyan Street, Shapingba District, Chongqing, 400038, China. yidong@tmmu.edu.cn"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Health Education, College of Preventive Medicine, Army Medical University, NO.30 Gaotanyan Street, Shapingba District, Chongqing, 400038, China","institution_ids":["https://openalex.org/I151075929"]},{"raw_affiliation_string":"Department of Health Statistics, College of Preventive Medicine, Army Medical University, NO.30 Gaotanyan Street, Shapingba District, Chongqing, 400038, China","institution_ids":["https://openalex.org/I151075929"]},{"raw_affiliation_string":"Department of Health Statistics, College of Preventive Medicine, Army Medical University, NO.30 Gaotanyan Street, Shapingba District, Chongqing, 400038, China. yidong@tmmu.edu.cn","institution_ids":["https://openalex.org/I151075929"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5107871049","display_name":"Zeliang Wei","orcid":null},"institutions":[{"id":"https://openalex.org/I151075929","display_name":"Army Medical University","ror":"https://ror.org/05w21nn13","country_code":"CN","type":"education","lineage":["https://openalex.org/I151075929"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Dali Yi","raw_affiliation_strings":["Department of Health Education, College of Preventive Medicine, Army Medical University, NO.30 Gaotanyan Street, Shapingba District, Chongqing, 400038, China","Department of Health Statistics, College of Preventive Medicine, Army Medical University, NO.30 Gaotanyan Street, Shapingba District, Chongqing, 400038, China","Department of Health Statistics, College of Preventive Medicine, Army Medical University, NO.30 Gaotanyan Street, Shapingba District, Chongqing, 400038, China. yidong@tmmu.edu.cn"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Health Education, College of Preventive Medicine, Army Medical University, NO.30 Gaotanyan Street, Shapingba District, Chongqing, 400038, China","institution_ids":["https://openalex.org/I151075929"]},{"raw_affiliation_string":"Department of Health Statistics, College of Preventive Medicine, Army Medical University, NO.30 Gaotanyan Street, Shapingba District, Chongqing, 400038, China","institution_ids":["https://openalex.org/I151075929"]},{"raw_affiliation_string":"Department of Health Statistics, College of Preventive Medicine, Army Medical University, NO.30 Gaotanyan Street, Shapingba District, Chongqing, 400038, China. yidong@tmmu.edu.cn","institution_ids":["https://openalex.org/I151075929"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101932064","display_name":"Ning Yao","orcid":"https://orcid.org/0009-0006-9658-7142"},"institutions":[{"id":"https://openalex.org/I151075929","display_name":"Army Medical University","ror":"https://ror.org/05w21nn13","country_code":"CN","type":"education","lineage":["https://openalex.org/I151075929"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zeliang Wei","raw_affiliation_strings":["Department of Health Statistics, College of Preventive Medicine, Army Medical University, NO.30 Gaotanyan Street, Shapingba District, Chongqing, 400038, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Health Statistics, College of Preventive Medicine, Army Medical University, NO.30 Gaotanyan Street, Shapingba District, Chongqing, 400038, China","institution_ids":["https://openalex.org/I151075929"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101712357","display_name":"Li Yang","orcid":"https://orcid.org/0000-0001-6741-6658"},"institutions":[{"id":"https://openalex.org/I151075929","display_name":"Army Medical University","ror":"https://ror.org/05w21nn13","country_code":"CN","type":"education","lineage":["https://openalex.org/I151075929"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ning Yao","raw_affiliation_strings":["Department of Health Statistics, College of Preventive Medicine, Army Medical University, NO.30 Gaotanyan Street, Shapingba District, Chongqing, 400038, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Health Statistics, College of Preventive Medicine, Army Medical University, NO.30 Gaotanyan Street, Shapingba District, Chongqing, 400038, China","institution_ids":["https://openalex.org/I151075929"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100650289","display_name":"Yi Dong","orcid":"https://orcid.org/0000-0003-3047-7777"},"institutions":[{"id":"https://openalex.org/I151075929","display_name":"Army Medical University","ror":"https://ror.org/05w21nn13","country_code":"CN","type":"education","lineage":["https://openalex.org/I151075929"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yang Li","raw_affiliation_strings":["Department of Health Statistics, College of Preventive Medicine, Army Medical University, NO.30 Gaotanyan Street, Shapingba District, Chongqing, 400038, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Health Statistics, College of Preventive Medicine, Army Medical University, NO.30 Gaotanyan Street, Shapingba District, Chongqing, 400038, China","institution_ids":["https://openalex.org/I151075929"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5067968258","display_name":"Yazhou Wu","orcid":"https://orcid.org/0000-0002-9521-2940"},"institutions":[{"id":"https://openalex.org/I151075929","display_name":"Army Medical University","ror":"https://ror.org/05w21nn13","country_code":"CN","type":"education","lineage":["https://openalex.org/I151075929"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Dong Yi","raw_affiliation_strings":["Department of Health Education, College of Preventive Medicine, Army Medical University, NO.30 Gaotanyan Street, Shapingba District, Chongqing, 400038, China","Department of Health Statistics, College of Preventive Medicine, Army Medical University, NO.30 Gaotanyan Street, Shapingba District, Chongqing, 400038, China","Department of Health Statistics, College of Preventive Medicine, Army Medical University, NO.30 Gaotanyan Street, Shapingba District, Chongqing, 400038, China. yidong@tmmu.edu.cn"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Health Education, College of Preventive Medicine, Army Medical University, NO.30 Gaotanyan Street, Shapingba District, Chongqing, 400038, China","institution_ids":["https://openalex.org/I151075929"]},{"raw_affiliation_string":"Department of Health Statistics, College of Preventive Medicine, Army Medical University, NO.30 Gaotanyan Street, Shapingba District, Chongqing, 400038, China","institution_ids":["https://openalex.org/I151075929"]},{"raw_affiliation_string":"Department of Health Statistics, College of Preventive Medicine, Army Medical University, NO.30 Gaotanyan Street, Shapingba District, Chongqing, 400038, China. yidong@tmmu.edu.cn","institution_ids":["https://openalex.org/I151075929"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100650289","display_name":"Yi Dong","orcid":"https://orcid.org/0000-0003-3047-7777"},"institutions":[{"id":"https://openalex.org/I151075929","display_name":"Army Medical University","ror":"https://ror.org/05w21nn13","country_code":"CN","type":"education","lineage":["https://openalex.org/I151075929"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Dong Yi","raw_affiliation_strings":["Department of Health Education, College of Preventive Medicine, Army Medical University, NO.30 Gaotanyan Street, Shapingba District, Chongqing, 400038, China","Department of Health Statistics, College of Preventive Medicine, Army Medical University, NO.30 Gaotanyan Street, Shapingba District, Chongqing, 400038, China","Department of Health Statistics, College of Preventive Medicine, Army Medical University, NO.30 Gaotanyan Street, Shapingba District, Chongqing, 400038, China. yidong@tmmu.edu.cn"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Health Education, College of Preventive Medicine, Army Medical University, NO.30 Gaotanyan Street, Shapingba District, Chongqing, 400038, China","institution_ids":["https://openalex.org/I151075929"]},{"raw_affiliation_string":"Department of Health Statistics, College of Preventive Medicine, Army Medical University, NO.30 Gaotanyan Street, Shapingba District, Chongqing, 400038, China","institution_ids":["https://openalex.org/I151075929"]},{"raw_affiliation_string":"Department of Health Statistics, College of Preventive Medicine, Army Medical University, NO.30 Gaotanyan Street, Shapingba District, Chongqing, 400038, China. yidong@tmmu.edu.cn","institution_ids":["https://openalex.org/I151075929"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5067968258","display_name":"Yazhou Wu","orcid":"https://orcid.org/0000-0002-9521-2940"},"institutions":[{"id":"https://openalex.org/I151075929","display_name":"Army Medical University","ror":"https://ror.org/05w21nn13","country_code":"CN","type":"education","lineage":["https://openalex.org/I151075929"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yazhou Wu","raw_affiliation_strings":["Department of Health Statistics, College of Preventive Medicine, Army Medical University, NO.30 Gaotanyan Street, Shapingba District, Chongqing, 400038, China. asiawu@tmmu.edu.cn"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Health Statistics, College of Preventive Medicine, Army Medical University, NO.30 Gaotanyan Street, Shapingba District, Chongqing, 400038, China. asiawu@tmmu.edu.cn","institution_ids":["https://openalex.org/I151075929"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5067968258","https://openalex.org/A5074901892"],"corresponding_institution_ids":["https://openalex.org/I151075929"],"apc_list":{"value":1690,"currency":"GBP","value_usd":2072},"apc_paid":{"value":1690,"currency":"GBP","value_usd":2072},"fwci":1.7956,"has_fulltext":true,"cited_by_count":6,"citation_normalized_percentile":{"value":0.82152805,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":98},"biblio":{"volume":"25","issue":"1","first_page":"38","last_page":"38"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10410","display_name":"COVID-19 epidemiological studies","score":0.5181999802589417,"subfield":{"id":"https://openalex.org/subfields/2611","display_name":"Modeling and Simulation"},"field":{"id":"https://openalex.org/fields/26","display_name":"Mathematics"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10410","display_name":"COVID-19 epidemiological studies","score":0.5181999802589417,"subfield":{"id":"https://openalex.org/subfields/2611","display_name":"Modeling and Simulation"},"field":{"id":"https://openalex.org/fields/26","display_name":"Mathematics"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T12492","display_name":"Zoonotic diseases and public health","score":0.16169999539852142,"subfield":{"id":"https://openalex.org/subfields/2739","display_name":"Public Health, Environmental and Occupational Health"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},{"id":"https://openalex.org/T11819","display_name":"Data-Driven Disease Surveillance","score":0.024399999529123306,"subfield":{"id":"https://openalex.org/subfields/2713","display_name":"Epidemiology"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.696325421333313},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6523835062980652},{"id":"https://openalex.org/keywords/generalizability-theory","display_name":"Generalizability theory","score":0.651320219039917},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.57960444688797},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.514474630355835},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5123937726020813},{"id":"https://openalex.org/keywords/autoregressive-model","display_name":"Autoregressive model","score":0.45541122555732727},{"id":"https://openalex.org/keywords/incidence","display_name":"Incidence (geometry)","score":0.439832866191864},{"id":"https://openalex.org/keywords/autoregressive-integrated-moving-average","display_name":"Autoregressive integrated moving average","score":0.4386774003505707},{"id":"https://openalex.org/keywords/infectious-disease","display_name":"Infectious disease (medical specialty)","score":0.4286084473133087},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.2911158800125122},{"id":"https://openalex.org/keywords/time-series","display_name":"Time series","score":0.2268662452697754},{"id":"https://openalex.org/keywords/disease","display_name":"Disease","score":0.1601662039756775},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.12653279304504395},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.09447121620178223}],"concepts":[{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.696325421333313},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6523835062980652},{"id":"https://openalex.org/C27158222","wikidata":"https://www.wikidata.org/wiki/Q5532422","display_name":"Generalizability theory","level":2,"score":0.651320219039917},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.57960444688797},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.514474630355835},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5123937726020813},{"id":"https://openalex.org/C159877910","wikidata":"https://www.wikidata.org/wiki/Q2202883","display_name":"Autoregressive model","level":2,"score":0.45541122555732727},{"id":"https://openalex.org/C61511704","wikidata":"https://www.wikidata.org/wiki/Q1671857","display_name":"Incidence (geometry)","level":2,"score":0.439832866191864},{"id":"https://openalex.org/C24338571","wikidata":"https://www.wikidata.org/wiki/Q2566298","display_name":"Autoregressive integrated moving average","level":3,"score":0.4386774003505707},{"id":"https://openalex.org/C524204448","wikidata":"https://www.wikidata.org/wiki/Q788926","display_name":"Infectious disease (medical specialty)","level":3,"score":0.4286084473133087},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.2911158800125122},{"id":"https://openalex.org/C151406439","wikidata":"https://www.wikidata.org/wiki/Q186588","display_name":"Time series","level":2,"score":0.2268662452697754},{"id":"https://openalex.org/C2779134260","wikidata":"https://www.wikidata.org/wiki/Q12136","display_name":"Disease","level":2,"score":0.1601662039756775},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.12653279304504395},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.09447121620178223},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C142724271","wikidata":"https://www.wikidata.org/wiki/Q7208","display_name":"Pathology","level":1,"score":0.0}],"mesh":[{"descriptor_ui":"D003141","descriptor_name":"Communicable Diseases","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D003141","descriptor_name":"Communicable Diseases","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D003141","descriptor_name":"Communicable Diseases","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D003141","descriptor_name":"Communicable Diseases","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D003141","descriptor_name":"Communicable Diseases","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D003141","descriptor_name":"Communicable Diseases","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D015994","descriptor_name":"Incidence","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D015994","descriptor_name":"Incidence","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D015994","descriptor_name":"Incidence","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D015994","descriptor_name":"Incidence","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D015994","descriptor_name":"Incidence","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D015994","descriptor_name":"Incidence","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016571","descriptor_name":"Neural Networks, Computer","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016571","descriptor_name":"Neural Networks, Computer","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016571","descriptor_name":"Neural Networks, Computer","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016571","descriptor_name":"Neural Networks, Computer","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016571","descriptor_name":"Neural Networks, Computer","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016571","descriptor_name":"Neural Networks, Computer","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D019985","descriptor_name":"Benchmarking","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D019985","descriptor_name":"Benchmarking","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D019985","descriptor_name":"Benchmarking","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D019985","descriptor_name":"Benchmarking","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D019985","descriptor_name":"Benchmarking","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D019985","descriptor_name":"Benchmarking","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D020407","descriptor_name":"Internet","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D020407","descriptor_name":"Internet","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D020407","descriptor_name":"Internet","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D020407","descriptor_name":"Internet","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D020407","descriptor_name":"Internet","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D020407","descriptor_name":"Internet","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false}],"locations_count":4,"locations":[{"id":"doi:10.1186/s12859-023-05621-5","is_oa":true,"landing_page_url":"https://doi.org/10.1186/s12859-023-05621-5","pdf_url":"https://bmcbioinformatics.biomedcentral.com/counter/pdf/10.1186/s12859-023-05621-5","source":{"id":"https://openalex.org/S19032547","display_name":"BMC Bioinformatics","issn_l":"1471-2105","issn":["1471-2105"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320256","host_organization_name":"BioMed Central","host_organization_lineage":["https://openalex.org/P4310320256","https://openalex.org/P4310319965"],"host_organization_lineage_names":["BioMed Central","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"BMC Bioinformatics","raw_type":"journal-article"},{"id":"pmid:38262917","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/38262917","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"BMC bioinformatics","raw_type":null},{"id":"pmh:oai:pubmedcentral.nih.gov:10804580","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/10804580","pdf_url":"https://pmc.ncbi.nlm.nih.gov/articles/PMC10804580/pdf/12859_2023_Article_5621.pdf","source":{"id":"https://openalex.org/S2764455111","display_name":"PubMed Central","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"BMC Bioinformatics","raw_type":"Text"},{"id":"pmh:oai:doaj.org/article:6ea6e44b594d4aeabbda41a29736b494","is_oa":true,"landing_page_url":"https://doaj.org/article/6ea6e44b594d4aeabbda41a29736b494","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"BMC Bioinformatics, Vol 25, Iss 1, Pp 1-17 (2024)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1186/s12859-023-05621-5","is_oa":true,"landing_page_url":"https://doi.org/10.1186/s12859-023-05621-5","pdf_url":"https://bmcbioinformatics.biomedcentral.com/counter/pdf/10.1186/s12859-023-05621-5","source":{"id":"https://openalex.org/S19032547","display_name":"BMC Bioinformatics","issn_l":"1471-2105","issn":["1471-2105"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320256","host_organization_name":"BioMed Central","host_organization_lineage":["https://openalex.org/P4310320256","https://openalex.org/P4310319965"],"host_organization_lineage_names":["BioMed Central","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"BMC Bioinformatics","raw_type":"journal-article"},"sustainable_development_goals":[{"score":0.47999998927116394,"id":"https://metadata.un.org/sdg/17","display_name":"Partnerships for the goals"}],"awards":[{"id":"https://openalex.org/G2249571176","display_name":null,"funder_award_id":"No. 81872716","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6062499167","display_name":null,"funder_award_id":"82173621","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6216938873","display_name":null,"funder_award_id":"Cstc2020jcyj-zdxmX0017","funder_id":"https://openalex.org/F4320323172","funder_display_name":"Natural Science Foundation of Chongqing"},{"id":"https://openalex.org/G7560018291","display_name":null,"funder_award_id":"81872716","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320323172","display_name":"Natural Science Foundation of Chongqing","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320327581","display_name":"Army Medical University","ror":null},{"id":"https://openalex.org/F4320337368","display_name":"Division of Graduate Education","ror":"https://ror.org/00whkrf32"}],"has_content":{"grobid_xml":false,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4391141613.pdf"},"referenced_works_count":44,"referenced_works":["https://openalex.org/W1986504446","https://openalex.org/W2002667857","https://openalex.org/W2163176923","https://openalex.org/W2477777706","https://openalex.org/W2583091440","https://openalex.org/W2765753848","https://openalex.org/W2944851425","https://openalex.org/W2967988901","https://openalex.org/W2990532790","https://openalex.org/W2999823319","https://openalex.org/W3004619146","https://openalex.org/W3011486546","https://openalex.org/W3011613821","https://openalex.org/W3011914325","https://openalex.org/W3012577988","https://openalex.org/W3035592557","https://openalex.org/W3037186507","https://openalex.org/W3045554909","https://openalex.org/W3049310425","https://openalex.org/W3081988921","https://openalex.org/W3082662855","https://openalex.org/W3082974932","https://openalex.org/W3087195019","https://openalex.org/W3105249229","https://openalex.org/W3112861589","https://openalex.org/W3116334157","https://openalex.org/W3122848512","https://openalex.org/W3125366268","https://openalex.org/W3128750501","https://openalex.org/W3153418506","https://openalex.org/W3158669684","https://openalex.org/W3164411734","https://openalex.org/W3164775596","https://openalex.org/W3182474269","https://openalex.org/W3193507057","https://openalex.org/W3216027625","https://openalex.org/W3217188649","https://openalex.org/W4206993404","https://openalex.org/W4221017061","https://openalex.org/W4223606876","https://openalex.org/W4286565516","https://openalex.org/W4293569808","https://openalex.org/W4298091843","https://openalex.org/W4307722373"],"related_works":["https://openalex.org/W2118717649","https://openalex.org/W410723623","https://openalex.org/W2413243053","https://openalex.org/W2015341305","https://openalex.org/W4225593417","https://openalex.org/W2035068594","https://openalex.org/W2059783833","https://openalex.org/W2573498121","https://openalex.org/W3160494304","https://openalex.org/W4388667037"],"abstract_inverted_index":{"BACKGROUND:":[0],"Previously,":[1],"many":[2],"methods":[3,18,48,75,258],"have":[4,29],"been":[5],"used":[6],"to":[7,60,223,234],"predict":[8],"the":[9,21,66,141,149,159,168,180,203,224,227,230,254,287,290],"incidence":[10,22,67,291],"trends":[11,23],"of":[12,24,33,40,56,65,69,143,177,192,200,229,256,289,293],"infectious":[13,25,70,84,267,279,295],"diseases.":[14,296],"There":[15],"are":[16,37,209,221],"numerous":[17],"for":[19,277,286],"predicting":[20],"diseases,":[26],"and":[27,46,49,76,92,96,123,128,146,148,166,205,215,238,250,259,265,282],"they":[28],"exhibited":[30],"varying":[31],"degrees":[32],"success.":[34],"However,":[35],"there":[36],"a":[38,62,109,129,274,284],"lack":[39],"prediction":[41,63,269,288],"benchmarks":[42],"that":[43,72,191],"integrate":[44],"linear":[45],"nonlinear":[47,118],"effectively":[50],"use":[51],"internet":[52,105],"data.":[53,106,156,173],"The":[54,83,100,136,175,197],"aim":[55],"this":[57],"paper":[58],"is":[59,87,138,152,184,187],"develop":[61],"model":[64,111,160,169,246],"rate":[68],"diseases":[71],"integrates":[73],"multiple":[74,257,260],"multisource":[77,155,219],"data,":[78],"realizing":[79],"ground-breaking":[80],"research.":[81],"RESULTS:":[82],"disease":[85,268,280],"dataset":[86,183],"from":[88],"an":[89,243],"official":[90],"release":[91],"includes":[93],"four":[94],"national":[95,204,225],"three":[97],"regional":[98,206],"datasets.":[99],"Baidu":[101],"index":[102],"platform":[103],"provides":[104,283],"We":[107,157,241],"choose":[108],"single":[110,194],"(seasonal":[112],"autoregressive":[113,119],"integrated":[114],"moving":[115],"average":[116],"(SARIMA),":[117],"neural":[120,133,144],"network":[121,134],"(NAR),":[122],"long":[124],"short-term":[125],"memory":[126],"(LSTM))":[127],"deep":[130],"evolutionary":[131],"fusion":[132],"(DEFNN).":[135],"DEFNN":[137,150,231,263],"built":[139,153],"using":[140,154],"idea":[142],"evolution":[145],"fusion,":[147],"+":[151,232],"compare":[158],"accuracy":[161,249],"on":[162,171,202,253],"reference":[163,181,285],"group":[164,182],"data":[165,261],"validate":[167],"generalizability":[170,251],"external":[172,207],"(1)":[174],"loss":[176,198,228],"SA-LSTM":[178,201,244],"in":[179],"0.4919,":[185],"which":[186],"significantly":[188],"better":[189],"than":[190],"other":[193],"models.":[195],"(2)":[196],"values":[199],"datasets":[208],"0.9666,":[210],"1.2437,":[211],"0.2472,":[212],"0.7239,":[213],"1.4026,":[214],"0.6868.":[216],"(3)":[217],"When":[218],"indices":[220],"added":[222],"dataset,":[226],"increases":[233],"0.4212,":[235],"0.8218,":[236],"1.0331,":[237],"0.8575.":[239],"CONCLUSIONS:":[240],"propose":[242],"optimization":[245],"with":[247],"good":[248],"based":[252],"concept":[255],"fusion.":[262],"enriches":[264],"supplements":[266],"methodologies,":[270],"can":[271],"serve":[272],"as":[273],"new":[275],"benchmark":[276],"future":[278],"predictions":[281],"rates":[292],"various":[294]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":1}],"updated_date":"2026-07-18T07:39:51.176621","created_date":"2025-10-10T00:00:00"}