{"id":"https://openalex.org/W4362671110","doi":"https://doi.org/10.1186/s12911-023-02159-7","title":"Explainable prediction of daily hospitalizations for cerebrovascular disease using stacked ensemble learning","display_name":"Explainable prediction of daily hospitalizations for cerebrovascular disease using stacked ensemble learning","publication_year":2023,"publication_date":"2023-04-06","ids":{"openalex":"https://openalex.org/W4362671110","doi":"https://doi.org/10.1186/s12911-023-02159-7","pmid":"https://pubmed.ncbi.nlm.nih.gov/37024922"},"language":"en","primary_location":{"id":"doi:10.1186/s12911-023-02159-7","is_oa":true,"landing_page_url":"https://doi.org/10.1186/s12911-023-02159-7","pdf_url":"https://bmcmedinformdecismak.biomedcentral.com/counter/pdf/10.1186/s12911-023-02159-7","source":{"id":"https://openalex.org/S107516304","display_name":"BMC Medical Informatics and Decision Making","issn_l":"1472-6947","issn":["1472-6947"],"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 Medical Informatics and Decision Making","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj","pubmed"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://bmcmedinformdecismak.biomedcentral.com/counter/pdf/10.1186/s12911-023-02159-7","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100543809","display_name":"Xiaoya Lu","orcid":null},"institutions":[{"id":"https://openalex.org/I150229711","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92","country_code":"CN","type":"education","lineage":["https://openalex.org/I150229711"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaoya Lu","raw_affiliation_strings":["School of Computer Science and Engineering, University of Electronic Science and Technology of China, No.2006, Xiyuan Ave, West Hi-Tech Zone, 611731, Chengdu, Sichuan, People's Republic of China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, University of Electronic Science and Technology of China, No.2006, Xiyuan Ave, West Hi-Tech Zone, 611731, Chengdu, Sichuan, People's Republic of China","institution_ids":["https://openalex.org/I150229711"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5050104521","display_name":"Hang Qiu","orcid":"https://orcid.org/0000-0002-5380-2870"},"institutions":[{"id":"https://openalex.org/I150229711","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92","country_code":"CN","type":"education","lineage":["https://openalex.org/I150229711"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Hang Qiu","raw_affiliation_strings":["Big Data Research Center, University of Electronic Science and Technology of China, Chengdu, China. qiuhang@uestc.edu.cn","School of Computer Science and Engineering, University of Electronic Science and Technology of China, No.2006, Xiyuan Ave, West Hi-Tech Zone, 611731, Chengdu, Sichuan, People's Republic of China. qiuhang@uestc.edu.cn","School of Computer Science and Engineering, University of Electronic Science and Technology of China, No.2006, Xiyuan Ave, West Hi-Tech Zone, 611731, Chengdu, Sichuan, People's Republic of China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Big Data Research Center, University of Electronic Science and Technology of China, Chengdu, China. qiuhang@uestc.edu.cn","institution_ids":["https://openalex.org/I150229711"]},{"raw_affiliation_string":"School of Computer Science and Engineering, University of Electronic Science and Technology of China, No.2006, Xiyuan Ave, West Hi-Tech Zone, 611731, Chengdu, Sichuan, People's Republic of China. qiuhang@uestc.edu.cn","institution_ids":["https://openalex.org/I150229711"]},{"raw_affiliation_string":"School of Computer Science and Engineering, University of Electronic Science and Technology of China, No.2006, Xiyuan Ave, West Hi-Tech Zone, 611731, Chengdu, Sichuan, People's Republic of China","institution_ids":["https://openalex.org/I150229711"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5050104521"],"corresponding_institution_ids":["https://openalex.org/I150229711"],"apc_list":{"value":2690,"currency":"USD","value_usd":2690},"apc_paid":{"value":2690,"currency":"USD","value_usd":2690},"fwci":2.1139,"has_fulltext":true,"cited_by_count":15,"citation_normalized_percentile":{"value":0.88471989,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":98,"max":99},"biblio":{"volume":"23","issue":"1","first_page":"59","last_page":"59"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T13702","display_name":"Machine Learning in Healthcare","score":0.3046000003814697,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T13702","display_name":"Machine Learning in Healthcare","score":0.3046000003814697,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11636","display_name":"Artificial Intelligence in Healthcare and Education","score":0.06710000336170197,"subfield":{"id":"https://openalex.org/subfields/2718","display_name":"Health Informatics"},"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/T11396","display_name":"Artificial Intelligence in Healthcare","score":0.06499999761581421,"subfield":{"id":"https://openalex.org/subfields/3605","display_name":"Health Information Management"},"field":{"id":"https://openalex.org/fields/36","display_name":"Health Professions"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/mean-squared-error","display_name":"Mean squared error","score":0.7392533421516418},{"id":"https://openalex.org/keywords/random-forest","display_name":"Random forest","score":0.6935175657272339},{"id":"https://openalex.org/keywords/decision-tree","display_name":"Decision tree","score":0.5788997411727905},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5602371692657471},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.5298920273780823},{"id":"https://openalex.org/keywords/mean-absolute-percentage-error","display_name":"Mean absolute percentage error","score":0.5103799700737},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.4620508551597595},{"id":"https://openalex.org/keywords/gradient-boosting","display_name":"Gradient boosting","score":0.45462799072265625},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.42178207635879517},{"id":"https://openalex.org/keywords/weighting","display_name":"Weighting","score":0.4217192828655243},{"id":"https://openalex.org/keywords/ensemble-learning","display_name":"Ensemble learning","score":0.41595935821533203},{"id":"https://openalex.org/keywords/health-informatics","display_name":"Health informatics","score":0.4108756184577942},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.40536025166511536},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.39103710651397705},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.24459323287010193},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.2176610231399536},{"id":"https://openalex.org/keywords/public-health","display_name":"Public health","score":0.09736496210098267}],"concepts":[{"id":"https://openalex.org/C139945424","wikidata":"https://www.wikidata.org/wiki/Q1940696","display_name":"Mean squared error","level":2,"score":0.7392533421516418},{"id":"https://openalex.org/C169258074","wikidata":"https://www.wikidata.org/wiki/Q245748","display_name":"Random forest","level":2,"score":0.6935175657272339},{"id":"https://openalex.org/C84525736","wikidata":"https://www.wikidata.org/wiki/Q831366","display_name":"Decision tree","level":2,"score":0.5788997411727905},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5602371692657471},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5298920273780823},{"id":"https://openalex.org/C150217764","wikidata":"https://www.wikidata.org/wiki/Q6803607","display_name":"Mean absolute percentage error","level":3,"score":0.5103799700737},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.4620508551597595},{"id":"https://openalex.org/C70153297","wikidata":"https://www.wikidata.org/wiki/Q5591907","display_name":"Gradient boosting","level":3,"score":0.45462799072265625},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.42178207635879517},{"id":"https://openalex.org/C183115368","wikidata":"https://www.wikidata.org/wiki/Q856577","display_name":"Weighting","level":2,"score":0.4217192828655243},{"id":"https://openalex.org/C45942800","wikidata":"https://www.wikidata.org/wiki/Q245652","display_name":"Ensemble learning","level":2,"score":0.41595935821533203},{"id":"https://openalex.org/C145642194","wikidata":"https://www.wikidata.org/wiki/Q870895","display_name":"Health informatics","level":3,"score":0.4108756184577942},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.40536025166511536},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.39103710651397705},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.24459323287010193},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.2176610231399536},{"id":"https://openalex.org/C138816342","wikidata":"https://www.wikidata.org/wiki/Q189603","display_name":"Public health","level":2,"score":0.09736496210098267},{"id":"https://openalex.org/C159110408","wikidata":"https://www.wikidata.org/wiki/Q121176","display_name":"Nursing","level":1,"score":0.0},{"id":"https://openalex.org/C126838900","wikidata":"https://www.wikidata.org/wiki/Q77604","display_name":"Radiology","level":1,"score":0.0}],"mesh":[{"descriptor_ui":"D000069550","descriptor_name":"Machine Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000069550","descriptor_name":"Machine Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000069550","descriptor_name":"Machine Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D002561","descriptor_name":"Cerebrovascular Disorders","qualifier_ui":"Q000453","qualifier_name":"epidemiology","is_major_topic":true},{"descriptor_ui":"D002561","descriptor_name":"Cerebrovascular Disorders","qualifier_ui":"Q000453","qualifier_name":"epidemiology","is_major_topic":true},{"descriptor_ui":"D002561","descriptor_name":"Cerebrovascular Disorders","qualifier_ui":"Q000453","qualifier_name":"epidemiology","is_major_topic":true},{"descriptor_ui":"D002681","descriptor_name":"China","qualifier_ui":"Q000453","qualifier_name":"epidemiology","is_major_topic":false},{"descriptor_ui":"D002681","descriptor_name":"China","qualifier_ui":"Q000453","qualifier_name":"epidemiology","is_major_topic":false},{"descriptor_ui":"D002681","descriptor_name":"China","qualifier_ui":"Q000453","qualifier_name":"epidemiology","is_major_topic":false},{"descriptor_ui":"D006760","descriptor_name":"Hospitalization","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006760","descriptor_name":"Hospitalization","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006760","descriptor_name":"Hospitalization","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":"D016571","descriptor_name":"Neural Networks, Computer","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D016571","descriptor_name":"Neural Networks, Computer","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D016571","descriptor_name":"Neural Networks, Computer","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true}],"locations_count":4,"locations":[{"id":"doi:10.1186/s12911-023-02159-7","is_oa":true,"landing_page_url":"https://doi.org/10.1186/s12911-023-02159-7","pdf_url":"https://bmcmedinformdecismak.biomedcentral.com/counter/pdf/10.1186/s12911-023-02159-7","source":{"id":"https://openalex.org/S107516304","display_name":"BMC Medical Informatics and Decision Making","issn_l":"1472-6947","issn":["1472-6947"],"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 Medical Informatics and Decision Making","raw_type":"journal-article"},{"id":"pmid:37024922","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/37024922","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 medical informatics and decision making","raw_type":null},{"id":"pmh:oai:pubmedcentral.nih.gov:10080841","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/10080841","pdf_url":"https://pmc.ncbi.nlm.nih.gov/articles/PMC10080841/pdf/12911_2023_Article_2159.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 Med Inform Decis Mak","raw_type":"Text"},{"id":"pmh:oai:doaj.org/article:d75bd0e9f4fe4da8abe303b5808fb1ff","is_oa":true,"landing_page_url":"https://doaj.org/article/d75bd0e9f4fe4da8abe303b5808fb1ff","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 Medical Informatics and Decision Making, Vol 23, Iss 1, Pp 1-13 (2023)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1186/s12911-023-02159-7","is_oa":true,"landing_page_url":"https://doi.org/10.1186/s12911-023-02159-7","pdf_url":"https://bmcmedinformdecismak.biomedcentral.com/counter/pdf/10.1186/s12911-023-02159-7","source":{"id":"https://openalex.org/S107516304","display_name":"BMC Medical Informatics and Decision Making","issn_l":"1472-6947","issn":["1472-6947"],"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 Medical Informatics and Decision Making","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1870725921","display_name":null,"funder_award_id":"71661167005","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G762508027","display_name":null,"funder_award_id":"No. 71661167005","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8290195190","display_name":null,"funder_award_id":"2019YFS0271","funder_id":"https://openalex.org/F4320336596","funder_display_name":"Key Research and Development Program of Sichuan Province"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320336596","display_name":"Key Research and Development Program of Sichuan Province","ror":null}],"has_content":{"pdf":true,"grobid_xml":false},"content_urls":{"pdf":"https://content.openalex.org/works/W4362671110.pdf"},"referenced_works_count":42,"referenced_works":["https://openalex.org/W601239105","https://openalex.org/W1678356000","https://openalex.org/W2068800917","https://openalex.org/W2076063813","https://openalex.org/W2084313231","https://openalex.org/W2104761649","https://openalex.org/W2122825543","https://openalex.org/W2126934023","https://openalex.org/W2133295230","https://openalex.org/W2138998720","https://openalex.org/W2148143831","https://openalex.org/W2399239317","https://openalex.org/W2679609607","https://openalex.org/W2735780135","https://openalex.org/W2772032254","https://openalex.org/W2781813618","https://openalex.org/W2791592791","https://openalex.org/W2911964244","https://openalex.org/W2914406301","https://openalex.org/W2937013183","https://openalex.org/W2943391501","https://openalex.org/W2962862931","https://openalex.org/W2981982271","https://openalex.org/W3014189334","https://openalex.org/W3021373785","https://openalex.org/W3021414116","https://openalex.org/W3027473410","https://openalex.org/W3028334069","https://openalex.org/W3029755144","https://openalex.org/W3030845602","https://openalex.org/W3045793201","https://openalex.org/W3081747037","https://openalex.org/W3089650998","https://openalex.org/W3132250316","https://openalex.org/W3133516203","https://openalex.org/W3209217280","https://openalex.org/W4200332911","https://openalex.org/W4213363914","https://openalex.org/W4226269307","https://openalex.org/W4240294902","https://openalex.org/W4244230525","https://openalex.org/W4291021395"],"related_works":["https://openalex.org/W3208169454","https://openalex.org/W4307751489","https://openalex.org/W4389889055","https://openalex.org/W4298012357","https://openalex.org/W4296079469","https://openalex.org/W4313424649","https://openalex.org/W3175454233","https://openalex.org/W3127117601","https://openalex.org/W4311326873","https://openalex.org/W4382118046"],"abstract_inverted_index":{"Abstract":[0],"Background":[1],"With":[2],"the":[3,10,17,65,75,94,109,114,117,129,162,174,186,200,207,213,224,246],"prevalence":[4],"of":[5,20,39,68,154,176,212,257,268],"cerebrovascular":[6,21],"disease":[7],"(CD)":[8],"and":[9,51,55,82,123,152,189,210,220,223,249,254,285,292],"increasing":[11],"strain":[12],"on":[13,102,134,194,230],"healthcare":[14,18,293],"resources,":[15],"forecasting":[16],"demands":[19],"patients":[22],"has":[23,286],"significant":[24],"implications":[25],"for":[26,63,72,173,283],"optimizing":[27],"medical":[28],"resources.":[29],"Methods":[30],"In":[31,160],"this":[32],"study,":[33],"a":[34,56,98,241],"stacking":[35,178,214,272],"ensemble":[36],"model":[37,115,183,215,234,247,273],"comprised":[38],"four":[40,135],"base":[41,187],"learners":[42,188],"(ridge":[43],"regression,":[44],"random":[45],"forest,":[46],"gradient":[47],"boosting":[48],"decision":[49],"tree,":[50],"artificial":[52],"neural":[53],"network)":[54],"meta":[57,110],"learner":[58],"(elastic":[59],"net)":[60],"was":[61,106,168],"proposed":[62,182],"predicting":[64,280],"daily":[66,281],"number":[67],"hospital":[69],"admissions":[70],"(HAs)":[71],"CD":[73,231,284],"using":[74,116,128],"historical":[76],"HAs":[77,282],"data,":[78,81],"air":[79,259],"quality":[80],"meteorological":[83],"data":[84,118,130],"in":[85,131,243,279,289],"Chengdu,":[86],"China":[87],"from":[88,119],"2015":[89,120],"to":[90,121,170],"2018.":[91],"To":[92],"solve":[93],"label":[95,103],"imbalance":[96],"problem,":[97],"re-weighting":[99],"method":[100],"based":[101,133],"distribution":[104],"smoothing":[105],"integrated":[107],"into":[108],"learner.":[111],"We":[112],"trained":[113],"2017":[122],"evaluated":[124],"its":[125],"predictive":[126],"ability":[127],"2018":[132],"metrics,":[136],"including":[137],"mean":[138,143,147],"absolute":[139,148],"error":[140,145,150],"(MAE),":[141],"root":[142],"square":[144],"(RMSE),":[146],"percentage":[149],"(MAPE),":[151],"coefficient":[153],"determination":[155],"(":[156],"R":[157,225],"2":[158,226],").":[159],"addition,":[161],"SHapley":[163],"Additive":[164],"exPlanations":[165],"(SHAP)":[166],"framework":[167],"applied":[169],"provide":[171],"explanation":[172,235],"prediction":[175],"our":[177],"model.":[179],"Results":[180],"Our":[181,271],"outperformed":[184],"all":[185],"long":[190],"short-term":[191],"memory":[192],"(LSTM)":[193],"two":[195],"datasets.":[196],"Particularly,":[197],"compared":[198],"with":[199,264],"optimal":[201],"results":[202],"obtained":[203],"by":[204,217,228],"individual":[205],"models,":[206],"MAE,":[208],"RMSE,":[209],"MAPE":[211],"decreased":[216],"13.9%,":[218],"12.7%,":[219],"5.8%,":[221],"respectively,":[222],"improved":[227],"6.8%":[229],"dataset.":[232],"The":[233],"demonstrated":[236],"that":[237,251],"environmental":[238,275],"features":[239],"played":[240],"role":[242],"further":[244],"improving":[245],"performance":[248],"identified":[250],"high":[252,255],"temperature":[253],"concentrations":[256],"gaseous":[258],"pollutants":[260],"might":[261],"strongly":[262],"associate":[263],"an":[265],"increased":[266],"risk":[267],"CD.":[269],"Conclusions":[270],"considering":[274],"exposure":[276],"is":[277],"efficient":[278],"practical":[287],"value":[288],"early":[290],"warning":[291],"resource":[294],"allocation.":[295]},"counts_by_year":[{"year":2026,"cited_by_count":4},{"year":2025,"cited_by_count":5},{"year":2024,"cited_by_count":6}],"updated_date":"2026-07-23T08:03:31.855105","created_date":"2025-10-10T00:00:00"}