{"id":"https://openalex.org/W4313525575","doi":"https://doi.org/10.1109/bibm55620.2022.9995209","title":"AUTOMED: Automated Medical Risk Predictive Modeling on Electronic Health Records","display_name":"AUTOMED: Automated Medical Risk Predictive Modeling on Electronic Health Records","publication_year":2022,"publication_date":"2022-12-06","ids":{"openalex":"https://openalex.org/W4313525575","doi":"https://doi.org/10.1109/bibm55620.2022.9995209","pmid":"https://pubmed.ncbi.nlm.nih.gov/37063974"},"language":"en","primary_location":{"id":"doi:10.1109/bibm55620.2022.9995209","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bibm55620.2022.9995209","pdf_url":null,"source":{"id":"https://openalex.org/S4363607730","display_name":"2022 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)","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":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref","pubmed"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://pmc.ncbi.nlm.nih.gov/articles/PMC10102833/pdf/nihms-1889654.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5044416074","display_name":"Suhan Cui","orcid":"https://orcid.org/0009-0005-3932-6993"},"institutions":[{"id":"https://openalex.org/I130769515","display_name":"Pennsylvania State University","ror":"https://ror.org/04p491231","country_code":"US","type":"education","lineage":["https://openalex.org/I130769515"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Suhan Cui","raw_affiliation_strings":["Pennsylvania State University,United States","Pennsylvania State University, United States"],"affiliations":[{"raw_affiliation_string":"Pennsylvania State University,United States","institution_ids":["https://openalex.org/I130769515"]},{"raw_affiliation_string":"Pennsylvania State University, United States","institution_ids":["https://openalex.org/I130769515"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100365369","display_name":"Jiaqi Wang","orcid":"https://orcid.org/0000-0002-8523-3975"},"institutions":[{"id":"https://openalex.org/I130769515","display_name":"Pennsylvania State University","ror":"https://ror.org/04p491231","country_code":"US","type":"education","lineage":["https://openalex.org/I130769515"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jiaqi Wang","raw_affiliation_strings":["Pennsylvania State University,United States","Pennsylvania State University, United States"],"affiliations":[{"raw_affiliation_string":"Pennsylvania State University,United States","institution_ids":["https://openalex.org/I130769515"]},{"raw_affiliation_string":"Pennsylvania State University, United States","institution_ids":["https://openalex.org/I130769515"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5085623655","display_name":"Xinning Gui","orcid":"https://orcid.org/0000-0002-9436-7940"},"institutions":[{"id":"https://openalex.org/I130769515","display_name":"Pennsylvania State University","ror":"https://ror.org/04p491231","country_code":"US","type":"education","lineage":["https://openalex.org/I130769515"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Xinning Gui","raw_affiliation_strings":["Pennsylvania State University,United States","Pennsylvania State University, United States"],"affiliations":[{"raw_affiliation_string":"Pennsylvania State University,United States","institution_ids":["https://openalex.org/I130769515"]},{"raw_affiliation_string":"Pennsylvania State University, United States","institution_ids":["https://openalex.org/I130769515"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100428026","display_name":"Ting Wang","orcid":"https://orcid.org/0000-0003-4927-5833"},"institutions":[{"id":"https://openalex.org/I130769515","display_name":"Pennsylvania State University","ror":"https://ror.org/04p491231","country_code":"US","type":"education","lineage":["https://openalex.org/I130769515"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Ting Wang","raw_affiliation_strings":["Pennsylvania State University,United States","Pennsylvania State University, United States"],"affiliations":[{"raw_affiliation_string":"Pennsylvania State University,United States","institution_ids":["https://openalex.org/I130769515"]},{"raw_affiliation_string":"Pennsylvania State University, United States","institution_ids":["https://openalex.org/I130769515"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5001030192","display_name":"Fenglong Ma","orcid":"https://orcid.org/0000-0002-4999-0303"},"institutions":[{"id":"https://openalex.org/I130769515","display_name":"Pennsylvania State University","ror":"https://ror.org/04p491231","country_code":"US","type":"education","lineage":["https://openalex.org/I130769515"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Fenglong Ma","raw_affiliation_strings":["Pennsylvania State University,United States","Pennsylvania State University, United States"],"affiliations":[{"raw_affiliation_string":"Pennsylvania State University,United States","institution_ids":["https://openalex.org/I130769515"]},{"raw_affiliation_string":"Pennsylvania State University, United States","institution_ids":["https://openalex.org/I130769515"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5044416074"],"corresponding_institution_ids":["https://openalex.org/I130769515"],"apc_list":null,"apc_paid":null,"fwci":0.6261,"has_fulltext":true,"cited_by_count":6,"citation_normalized_percentile":{"value":0.68834128,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":97},"biblio":{"volume":"2022","issue":null,"first_page":"948","last_page":"953"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T13702","display_name":"Machine Learning in Healthcare","score":1.0,"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":1.0,"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/T11396","display_name":"Artificial Intelligence in Healthcare","score":0.987500011920929,"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/T10028","display_name":"Topic Modeling","score":0.98089998960495,"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":0.8316642642021179},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.6382385492324829},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.53608638048172},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5315907597541809},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4955824613571167},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4855791926383972},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.43581312894821167},{"id":"https://openalex.org/keywords/domain-knowledge","display_name":"Domain knowledge","score":0.42061376571655273},{"id":"https://openalex.org/keywords/architecture","display_name":"Architecture","score":0.41944754123687744}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8316642642021179},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.6382385492324829},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.53608638048172},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5315907597541809},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4955824613571167},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4855791926383972},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.43581312894821167},{"id":"https://openalex.org/C207685749","wikidata":"https://www.wikidata.org/wiki/Q2088941","display_name":"Domain knowledge","level":2,"score":0.42061376571655273},{"id":"https://openalex.org/C123657996","wikidata":"https://www.wikidata.org/wiki/Q12271","display_name":"Architecture","level":2,"score":0.41944754123687744},{"id":"https://openalex.org/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","level":1,"score":0.0},{"id":"https://openalex.org/C142362112","wikidata":"https://www.wikidata.org/wiki/Q735","display_name":"Art","level":0,"score":0.0},{"id":"https://openalex.org/C153349607","wikidata":"https://www.wikidata.org/wiki/Q36649","display_name":"Visual arts","level":1,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1109/bibm55620.2022.9995209","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bibm55620.2022.9995209","pdf_url":null,"source":{"id":"https://openalex.org/S4363607730","display_name":"2022 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)","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":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)","raw_type":"proceedings-article"},{"id":"pmid:37063974","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/37063974","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":"Proceedings. IEEE International Conference on Bioinformatics and Biomedicine","raw_type":null},{"id":"pmh:oai:pubmedcentral.nih.gov:10102833","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/10102833","pdf_url":"https://pmc.ncbi.nlm.nih.gov/articles/PMC10102833/pdf/nihms-1889654.pdf","source":{"id":"https://openalex.org/S2764455111","display_name":"PubMed Central","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":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Proceedings (IEEE Int Conf Bioinformatics Biomed)","raw_type":"Text"}],"best_oa_location":{"id":"pmh:oai:pubmedcentral.nih.gov:10102833","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/10102833","pdf_url":"https://pmc.ncbi.nlm.nih.gov/articles/PMC10102833/pdf/nihms-1889654.pdf","source":{"id":"https://openalex.org/S2764455111","display_name":"PubMed Central","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":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Proceedings (IEEE Int Conf Bioinformatics Biomed)","raw_type":"Text"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1851202988","display_name":null,"funder_award_id":"1R01AG077016-01","funder_id":"https://openalex.org/F4320332161","funder_display_name":"National Institutes of Health"},{"id":"https://openalex.org/G3497591915","display_name":null,"funder_award_id":"(NIH)","funder_id":"https://openalex.org/F4320332161","funder_display_name":"National Institutes of Health"},{"id":"https://openalex.org/G5071890890","display_name":null,"funder_award_id":"2119331","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G6745464978","display_name":null,"funder_award_id":"2212323","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G7501644542","display_name":null,"funder_award_id":"1951729","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G8138580079","display_name":"CAREER: Trustworthy Machine Learning from Untrusted Models","funder_award_id":"1953893","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G848032724","display_name":null,"funder_award_id":"Science","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"}],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"},{"id":"https://openalex.org/F4320332161","display_name":"National Institutes of Health","ror":"https://ror.org/01cwqze88"}],"has_content":{"pdf":true,"grobid_xml":false},"content_urls":{"pdf":"https://content.openalex.org/works/W4313525575.pdf"},"referenced_works_count":45,"referenced_works":["https://openalex.org/W1522301498","https://openalex.org/W1924770834","https://openalex.org/W2064675550","https://openalex.org/W2553303224","https://openalex.org/W2557074642","https://openalex.org/W2610332124","https://openalex.org/W2690721124","https://openalex.org/W2742491462","https://openalex.org/W2788110787","https://openalex.org/W2788853733","https://openalex.org/W2804604520","https://openalex.org/W2809396336","https://openalex.org/W2809398771","https://openalex.org/W2889599487","https://openalex.org/W2896538705","https://openalex.org/W2914241418","https://openalex.org/W2946547492","https://openalex.org/W2951104886","https://openalex.org/W2962746461","https://openalex.org/W2963271116","https://openalex.org/W2963532813","https://openalex.org/W2963821229","https://openalex.org/W2964199361","https://openalex.org/W2965658867","https://openalex.org/W2994923354","https://openalex.org/W2998409174","https://openalex.org/W3003504112","https://openalex.org/W3013181797","https://openalex.org/W3080098168","https://openalex.org/W3093599560","https://openalex.org/W3156039010","https://openalex.org/W3194273732","https://openalex.org/W3209819631","https://openalex.org/W4385245566","https://openalex.org/W6631190155","https://openalex.org/W6640212811","https://openalex.org/W6726186668","https://openalex.org/W6729956949","https://openalex.org/W6739901393","https://openalex.org/W6748476416","https://openalex.org/W6748587240","https://openalex.org/W6752515464","https://openalex.org/W6754497374","https://openalex.org/W6766225098","https://openalex.org/W6788409160"],"related_works":["https://openalex.org/W2588198209","https://openalex.org/W1909006023","https://openalex.org/W4205824991","https://openalex.org/W3200723557","https://openalex.org/W4312713546","https://openalex.org/W2362195430","https://openalex.org/W1583422155","https://openalex.org/W3213252596","https://openalex.org/W1649619740","https://openalex.org/W1534006406"],"abstract_inverted_index":{"Electronic":[0],"health":[1,25],"records":[2],"(EHR)":[3],"have":[4],"been":[5],"widely":[6],"applied":[7],"to":[8,22,92,124,153,184,241],"various":[9],"tasks":[10],"in":[11,79,180,217],"the":[12,38,52,95,101,107,110,118,173,181,186,194,226,242],"medical":[13],"domain":[14],"such":[15,191],"as":[16],"risk":[17,87,111,244],"predictive":[18],"modeling,":[19],"which":[20,67],"aims":[21],"predict":[23],"further":[24],"conditions":[26],"by":[27],"analyzing":[28,141],"patients'":[29],"historical":[30],"EHR.":[31],"Existing":[32],"work":[33],"mainly":[34],"focuses":[35],"on":[36,63,207],"modeling":[37,100],"sequential":[39,142],"and":[40,105,143,168,222,237],"temporal":[41,144],"characteristics":[42],"of":[43,55,109,120,136,146,219],"EHR":[44,103,147],"data":[45,104],"with":[46,201],"advanced":[47],"deep":[48],"learning":[49],"techniques.":[50],"However,":[51],"network":[53],"architectures":[54,236],"these":[56,160],"models":[57],"are":[58,138,177],"all":[59],"manually":[60],"designed":[61],"based":[62],"experts'":[64],"prior":[65],"knowledge,":[66],"largely":[68],"impedes":[69],"non-experts":[70],"from":[71],"exploring":[72],"this":[73,77,80],"task.":[74,113],"To":[75],"address":[76],"issue,":[78],"paper,":[81],"we":[82,116],"propose":[83],"a":[84,126,169,192],"novel":[85],"automated":[86],"prediction":[88,112,170,245],"model":[89,97,188,195,235,246],"named":[90],"AutoMed":[91,163,213,231],"automatically":[93,154,199],"search":[94,123,127,182],"optimal":[96,187],"architecture":[98,122],"for":[99,140],"complex":[102],"improving":[106],"performance":[108],"In":[114,190],"particular,":[115],"follow":[117],"idea":[119],"neural":[121],"design":[125,196],"space":[128],"that":[129,212,230],"contains":[130,164],"three":[131,161,174,208],"separate":[132],"searchable":[133,175],"modules.":[134],"Two":[135],"them":[137],"used":[139],"features":[145,157],"data,":[148],"respectively.":[149],"The":[150],"third":[151],"is":[152],"fuse":[155],"both":[156],"together.":[158],"Besides":[159],"modules,":[162],"an":[165],"embedding":[166],"module":[167],"module.":[171],"All":[172],"modules":[176],"jointly":[178],"optimized":[179],"stage":[183],"derive":[185],"architecture.":[189],"way,":[193],"can":[197,232],"be":[198],"achieved":[200],"few":[202],"human":[203],"interventions.":[204],"Experimental":[205],"results":[206],"real-world":[209],"datasets":[210],"show":[211],"outperforms":[214],"state-of-the-art":[215],"baselines":[216],"terms":[218],"PR-AUC,":[220],"F1,":[221],"Cohen's":[223],"Kappa.":[224],"Moreover,":[225],"ablation":[227],"study":[228],"shows":[229],"obtain":[233],"reasonable":[234],"offer":[238],"useful":[239],"insights":[240],"future":[243],"design.":[247]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":3}],"updated_date":"2026-04-10T15:06:20.359241","created_date":"2025-10-10T00:00:00"}