{"id":"https://openalex.org/W3044471845","doi":"https://doi.org/10.1186/s40537-020-00316-7","title":"Multi-layered deep learning perceptron approach for health risk prediction","display_name":"Multi-layered deep learning perceptron approach for health risk prediction","publication_year":2020,"publication_date":"2020-07-23","ids":{"openalex":"https://openalex.org/W3044471845","doi":"https://doi.org/10.1186/s40537-020-00316-7","mag":"3044471845"},"language":"en","primary_location":{"id":"doi:10.1186/s40537-020-00316-7","is_oa":true,"landing_page_url":"https://doi.org/10.1186/s40537-020-00316-7","pdf_url":"https://journalofbigdata.springeropen.com/track/pdf/10.1186/s40537-020-00316-7","source":{"id":"https://openalex.org/S2737955091","display_name":"Journal Of Big Data","issn_l":"2196-1115","issn":["2196-1115"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","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":"Journal of Big Data","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://journalofbigdata.springeropen.com/track/pdf/10.1186/s40537-020-00316-7","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5024306166","display_name":"Thulasi Bikku","orcid":"https://orcid.org/0000-0001-6202-1438"},"institutions":[{"id":"https://openalex.org/I149313025","display_name":"Vignan's Foundation for Science, Technology & Research","ror":"https://ror.org/03bzf1g85","country_code":"IN","type":"education","lineage":["https://openalex.org/I149313025"]}],"countries":["IN"],"is_corresponding":true,"raw_author_name":"Thulasi Bikku","raw_affiliation_strings":["Vignan\u2019s Nirula Institute of Technology and Science for Women, Palakaluru, Guntur, Andhra Pradesh, 522009, India","Vignan's Nirula Institute of Technology and Science for Women, Palakaluru, Guntur, Andhra Pradesh, 522009, India"],"affiliations":[{"raw_affiliation_string":"Vignan\u2019s Nirula Institute of Technology and Science for Women, Palakaluru, Guntur, Andhra Pradesh, 522009, India","institution_ids":["https://openalex.org/I149313025"]},{"raw_affiliation_string":"Vignan's Nirula Institute of Technology and Science for Women, Palakaluru, Guntur, Andhra Pradesh, 522009, India","institution_ids":["https://openalex.org/I149313025"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5024306166"],"corresponding_institution_ids":["https://openalex.org/I149313025"],"apc_list":{"value":1060,"currency":"GBP","value_usd":1300},"apc_paid":{"value":1060,"currency":"GBP","value_usd":1300},"fwci":10.6557,"has_fulltext":true,"cited_by_count":112,"citation_normalized_percentile":{"value":0.98052247,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":97,"max":100},"biblio":{"volume":"7","issue":"1","first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11396","display_name":"Artificial Intelligence in Healthcare","score":0.998199999332428,"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"}},"topics":[{"id":"https://openalex.org/T11396","display_name":"Artificial Intelligence in Healthcare","score":0.998199999332428,"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"}},{"id":"https://openalex.org/T13702","display_name":"Machine Learning in Healthcare","score":0.9943000078201294,"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/T10862","display_name":"AI in cancer detection","score":0.9933000206947327,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8087589144706726},{"id":"https://openalex.org/keywords/preprocessor","display_name":"Preprocessor","score":0.6980496644973755},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.671363890171051},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.6424933671951294},{"id":"https://openalex.org/keywords/perceptron","display_name":"Perceptron","score":0.6305791735649109},{"id":"https://openalex.org/keywords/multilayer-perceptron","display_name":"Multilayer perceptron","score":0.6036911606788635},{"id":"https://openalex.org/keywords/data-pre-processing","display_name":"Data pre-processing","score":0.5467932224273682},{"id":"https://openalex.org/keywords/supervised-learning","display_name":"Supervised learning","score":0.4853774309158325},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.47228699922561646},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.4617725610733032},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4216920733451843}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8087589144706726},{"id":"https://openalex.org/C34736171","wikidata":"https://www.wikidata.org/wiki/Q918333","display_name":"Preprocessor","level":2,"score":0.6980496644973755},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.671363890171051},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.6424933671951294},{"id":"https://openalex.org/C60908668","wikidata":"https://www.wikidata.org/wiki/Q690207","display_name":"Perceptron","level":3,"score":0.6305791735649109},{"id":"https://openalex.org/C179717631","wikidata":"https://www.wikidata.org/wiki/Q2991667","display_name":"Multilayer perceptron","level":3,"score":0.6036911606788635},{"id":"https://openalex.org/C10551718","wikidata":"https://www.wikidata.org/wiki/Q5227332","display_name":"Data pre-processing","level":2,"score":0.5467932224273682},{"id":"https://openalex.org/C136389625","wikidata":"https://www.wikidata.org/wiki/Q334384","display_name":"Supervised learning","level":3,"score":0.4853774309158325},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.47228699922561646},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.4617725610733032},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4216920733451843},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1186/s40537-020-00316-7","is_oa":true,"landing_page_url":"https://doi.org/10.1186/s40537-020-00316-7","pdf_url":"https://journalofbigdata.springeropen.com/track/pdf/10.1186/s40537-020-00316-7","source":{"id":"https://openalex.org/S2737955091","display_name":"Journal Of Big Data","issn_l":"2196-1115","issn":["2196-1115"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","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":"Journal of Big Data","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:d8f426f90bb74949a30b6feb124ebfa4","is_oa":true,"landing_page_url":"https://doaj.org/article/d8f426f90bb74949a30b6feb124ebfa4","pdf_url":null,"source":{"id":"https://openalex.org/S112646816","display_name":"SHILAP Revista de lepidopterolog\u00eda","issn_l":"0300-5267","issn":["0300-5267","2340-4078"],"is_oa":true,"is_in_doaj":true,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Journal of Big Data, Vol 7, Iss 1, Pp 1-14 (2020)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1186/s40537-020-00316-7","is_oa":true,"landing_page_url":"https://doi.org/10.1186/s40537-020-00316-7","pdf_url":"https://journalofbigdata.springeropen.com/track/pdf/10.1186/s40537-020-00316-7","source":{"id":"https://openalex.org/S2737955091","display_name":"Journal Of Big Data","issn_l":"2196-1115","issn":["2196-1115"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","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":"Journal of Big Data","raw_type":"journal-article"},"sustainable_development_goals":[{"display_name":"Good health and well-being","score":0.6600000262260437,"id":"https://metadata.un.org/sdg/3"}],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3044471845.pdf","grobid_xml":"https://content.openalex.org/works/W3044471845.grobid-xml"},"referenced_works_count":24,"referenced_works":["https://openalex.org/W1494739267","https://openalex.org/W1570713908","https://openalex.org/W1873332500","https://openalex.org/W2060730744","https://openalex.org/W2088043202","https://openalex.org/W2088922842","https://openalex.org/W2151455241","https://openalex.org/W2177870565","https://openalex.org/W2232081719","https://openalex.org/W2337082154","https://openalex.org/W2544905596","https://openalex.org/W2557719460","https://openalex.org/W2559553774","https://openalex.org/W2770848963","https://openalex.org/W2775102587","https://openalex.org/W2779677654","https://openalex.org/W2783706055","https://openalex.org/W2794835576","https://openalex.org/W2896756824","https://openalex.org/W2964990093","https://openalex.org/W3003385226","https://openalex.org/W3019380651","https://openalex.org/W4285719527","https://openalex.org/W6600669965"],"related_works":["https://openalex.org/W2989490741","https://openalex.org/W138569904","https://openalex.org/W2367545121","https://openalex.org/W4248881655","https://openalex.org/W2482165163","https://openalex.org/W3010890513","https://openalex.org/W3092506759","https://openalex.org/W2390914021","https://openalex.org/W2389417819","https://openalex.org/W3195278891"],"abstract_inverted_index":{"Abstract":[0],"In":[1,86],"today's":[2],"world,":[3],"due":[4],"to":[5,60,73],"the":[6,31,37,42,65,87,117,121,127],"increase":[7],"of":[8,21,36,44,104],"medical":[9,38,45,68,105],"data":[10,16,93],"there":[11],"is":[12,51,72,96,110,124],"an":[13],"interest":[14],"in":[15,41,64],"preprocessing,":[17],"classification":[18,94,100,114],"and":[19,26,57,101,116],"prediction":[20],"disease":[22],"risks.":[23],"Machine":[24],"learning":[25,55],"Artificial":[27],"Intelligence":[28],"indicates":[29],"that":[30,120],"predictive":[32],"analysis":[33,103],"becomes":[34],"part":[35],"activities":[39],"especially":[40],"domain":[43],"death":[46],"prevention.":[47],"The":[48,70,107],"proposed":[49,88,108,122],"work":[50],"focused":[52],"on":[53,92],"supervised":[54],"methods":[56,115],"their":[58],"capability":[59],"find":[61],"hidden":[62],"patterns":[63],"real":[66],"historical":[67],"data.":[69,106],"objective":[71],"predict":[74],"future":[75],"risk":[76,102],"with":[77,112],"a":[78],"certain":[79],"probability":[80],"using":[81],"Multi-layer":[82],"perceptron":[83],"(MLP)":[84],"method.":[85],"work,":[89],"MLP":[90],"based":[91],"technique":[95],"used":[97],"for":[98],"accurate":[99],"method":[109,123],"compared":[111],"traditional":[113,128],"results":[118],"show":[119],"better":[125],"than":[126],"methods.":[129]},"counts_by_year":[{"year":2026,"cited_by_count":9},{"year":2025,"cited_by_count":48},{"year":2024,"cited_by_count":22},{"year":2023,"cited_by_count":20},{"year":2022,"cited_by_count":8},{"year":2021,"cited_by_count":5}],"updated_date":"2026-04-17T18:11:37.981687","created_date":"2025-10-10T00:00:00"}