{"id":"https://openalex.org/W3132900071","doi":"https://doi.org/10.1109/ojcs.2021.3052518","title":"Multi-View Deep Learning Framework for Predicting Patient Expenditure in Healthcare","display_name":"Multi-View Deep Learning Framework for Predicting Patient Expenditure in Healthcare","publication_year":2021,"publication_date":"2021-01-01","ids":{"openalex":"https://openalex.org/W3132900071","doi":"https://doi.org/10.1109/ojcs.2021.3052518","mag":"3132900071"},"language":"en","primary_location":{"id":"doi:10.1109/ojcs.2021.3052518","is_oa":true,"landing_page_url":"https://doi.org/10.1109/ojcs.2021.3052518","pdf_url":"https://ieeexplore.ieee.org/ielx7/8782664/9349230/09328319.pdf","source":{"id":"https://openalex.org/S4210176459","display_name":"IEEE Open Journal of the Computer Society","issn_l":"2644-1268","issn":["2644-1268"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Open Journal of the Computer Society","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://ieeexplore.ieee.org/ielx7/8782664/9349230/09328319.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5055083798","display_name":"Xianlong Zeng","orcid":"https://orcid.org/0000-0001-8110-903X"},"institutions":[{"id":"https://openalex.org/I4210106879","display_name":"Ohio University","ror":"https://ror.org/01jr3y717","country_code":"US","type":"education","lineage":["https://openalex.org/I4210106879"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Xianlong Zeng","raw_affiliation_strings":["Electrical Engineering and Computer Science, Ohio University, Athens, OH, USA"],"raw_orcid":"https://orcid.org/0000-0001-8110-903X","affiliations":[{"raw_affiliation_string":"Electrical Engineering and Computer Science, Ohio University, Athens, OH, USA","institution_ids":["https://openalex.org/I4210106879"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5111991056","display_name":"Simon Lin","orcid":null},"institutions":[{"id":"https://openalex.org/I1314135232","display_name":"Nationwide Children's Hospital","ror":"https://ror.org/003rfsp33","country_code":"US","type":"healthcare","lineage":["https://openalex.org/I1314135232"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Simon Lin","raw_affiliation_strings":["RISI, Nationwide Children's Hospital, Columbus, OH, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"RISI, Nationwide Children's Hospital, Columbus, OH, USA","institution_ids":["https://openalex.org/I1314135232"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100353280","display_name":"Chang Liu","orcid":"https://orcid.org/0000-0002-6721-1959"},"institutions":[{"id":"https://openalex.org/I4210106879","display_name":"Ohio University","ror":"https://ror.org/01jr3y717","country_code":"US","type":"education","lineage":["https://openalex.org/I4210106879"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Chang Liu","raw_affiliation_strings":["School of EECS, Ohio University, Athens, OH, USA"],"raw_orcid":"https://orcid.org/0000-0002-6721-1959","affiliations":[{"raw_affiliation_string":"School of EECS, Ohio University, Athens, OH, USA","institution_ids":["https://openalex.org/I4210106879"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":{"value":1750,"currency":"USD","value_usd":1750},"apc_paid":{"value":1750,"currency":"USD","value_usd":1750},"fwci":2.1837,"has_fulltext":true,"cited_by_count":32,"citation_normalized_percentile":{"value":0.89283243,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":93,"max":99},"biblio":{"volume":"2","issue":null,"first_page":"62","last_page":"71"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T13702","display_name":"Machine Learning in Healthcare","score":0.9994999766349792,"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":0.9994999766349792,"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/T12246","display_name":"Chronic Disease Management Strategies","score":0.980400025844574,"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"}},{"id":"https://openalex.org/T10391","display_name":"Healthcare Policy and Management","score":0.9257000088691711,"subfield":{"id":"https://openalex.org/subfields/2002","display_name":"Economics and Econometrics"},"field":{"id":"https://openalex.org/fields/20","display_name":"Economics, Econometrics and Finance"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/health-care","display_name":"Health care","score":0.7048665285110474},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5902171730995178},{"id":"https://openalex.org/keywords/profiling","display_name":"Profiling (computer programming)","score":0.5310830473899841},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.4666723310947418},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.46561765670776367},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.4534464478492737},{"id":"https://openalex.org/keywords/payment","display_name":"Payment","score":0.4452129304409027},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.42785772681236267},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.40029415488243103},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.325664222240448}],"concepts":[{"id":"https://openalex.org/C160735492","wikidata":"https://www.wikidata.org/wiki/Q31207","display_name":"Health care","level":2,"score":0.7048665285110474},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5902171730995178},{"id":"https://openalex.org/C187191949","wikidata":"https://www.wikidata.org/wiki/Q1138496","display_name":"Profiling (computer programming)","level":2,"score":0.5310830473899841},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.4666723310947418},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.46561765670776367},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.4534464478492737},{"id":"https://openalex.org/C145097563","wikidata":"https://www.wikidata.org/wiki/Q1148747","display_name":"Payment","level":2,"score":0.4452129304409027},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.42785772681236267},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.40029415488243103},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.325664222240448},{"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},{"id":"https://openalex.org/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","level":1,"score":0.0},{"id":"https://openalex.org/C50522688","wikidata":"https://www.wikidata.org/wiki/Q189833","display_name":"Economic growth","level":1,"score":0.0},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","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/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/ojcs.2021.3052518","is_oa":true,"landing_page_url":"https://doi.org/10.1109/ojcs.2021.3052518","pdf_url":"https://ieeexplore.ieee.org/ielx7/8782664/9349230/09328319.pdf","source":{"id":"https://openalex.org/S4210176459","display_name":"IEEE Open Journal of the Computer Society","issn_l":"2644-1268","issn":["2644-1268"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Open Journal of the Computer Society","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:90623c851deb4157a434793e20ea68b9","is_oa":true,"landing_page_url":"https://doaj.org/article/90623c851deb4157a434793e20ea68b9","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":"IEEE Open Journal of the Computer Society, Vol 2, Pp 62-71 (2021)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/ojcs.2021.3052518","is_oa":true,"landing_page_url":"https://doi.org/10.1109/ojcs.2021.3052518","pdf_url":"https://ieeexplore.ieee.org/ielx7/8782664/9349230/09328319.pdf","source":{"id":"https://openalex.org/S4210176459","display_name":"IEEE Open Journal of the Computer Society","issn_l":"2644-1268","issn":["2644-1268"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Open Journal of the Computer Society","raw_type":"journal-article"},"sustainable_development_goals":[{"score":0.44999998807907104,"display_name":"Good health and well-being","id":"https://metadata.un.org/sdg/3"}],"awards":[{"id":"https://openalex.org/G2186355850","display_name":null,"funder_award_id":"BS123456","funder_id":"https://openalex.org/F4320306111","funder_display_name":"U.S. Department of Commerce"}],"funders":[{"id":"https://openalex.org/F4320306111","display_name":"U.S. Department of Commerce","ror":"https://ror.org/04chq2495"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3132900071.pdf","grobid_xml":"https://content.openalex.org/works/W3132900071.grobid-xml"},"referenced_works_count":52,"referenced_works":["https://openalex.org/W1515531572","https://openalex.org/W1539246134","https://openalex.org/W1574471049","https://openalex.org/W1582534817","https://openalex.org/W1965057008","https://openalex.org/W1966408965","https://openalex.org/W1973453264","https://openalex.org/W1998249118","https://openalex.org/W2012497503","https://openalex.org/W2042353763","https://openalex.org/W2055675683","https://openalex.org/W2060242537","https://openalex.org/W2067998880","https://openalex.org/W2103106495","https://openalex.org/W2143945764","https://openalex.org/W2153579005","https://openalex.org/W2218759667","https://openalex.org/W2244194838","https://openalex.org/W2284851926","https://openalex.org/W2295598076","https://openalex.org/W2481271618","https://openalex.org/W2487299198","https://openalex.org/W2514071032","https://openalex.org/W2557074642","https://openalex.org/W2623881437","https://openalex.org/W2788831478","https://openalex.org/W2793842557","https://openalex.org/W2794738647","https://openalex.org/W2798092656","https://openalex.org/W2892816441","https://openalex.org/W2896538705","https://openalex.org/W2897007327","https://openalex.org/W2901032095","https://openalex.org/W2913730834","https://openalex.org/W2963271116","https://openalex.org/W2985253410","https://openalex.org/W2991018224","https://openalex.org/W2997494090","https://openalex.org/W3044073019","https://openalex.org/W3099136959","https://openalex.org/W3102476541","https://openalex.org/W3121271037","https://openalex.org/W3122451732","https://openalex.org/W4294170691","https://openalex.org/W6632356167","https://openalex.org/W6634471712","https://openalex.org/W6681554961","https://openalex.org/W6682691769","https://openalex.org/W6726028665","https://openalex.org/W6726186668","https://openalex.org/W6749364303","https://openalex.org/W6770134454"],"related_works":["https://openalex.org/W4375867731","https://openalex.org/W2161444195","https://openalex.org/W2985540061","https://openalex.org/W2589019771","https://openalex.org/W2185012154","https://openalex.org/W4252521128","https://openalex.org/W2104014222","https://openalex.org/W4287867321","https://openalex.org/W2911183501","https://openalex.org/W2603064225"],"abstract_inverted_index":{"Accurately":[0],"predicting":[1,118],"patient":[2,80],"expenditure":[3,60,92],"in":[4,131],"healthcare":[5,59,133],"is":[6],"an":[7],"important":[8],"task":[9],"with":[10],"many":[11],"applications":[12],"such":[13],"as":[14],"provider":[15],"profiling,":[16],"accountable":[17,129],"care":[18,127,130],"management,":[19],"and":[20,33,43,87,128],"capitated":[21],"medical":[22,40,83,119],"payment":[23],"adjustment.":[24],"Existing":[25],"approaches":[26],"mainly":[27],"rely":[28],"on":[29,66,95],"manually":[30],"designed":[31],"features":[32],"linear":[34],"regression-based":[35],"models,":[36],"which":[37],"require":[38],"massive":[39],"domain":[41],"knowledge":[42],"show":[44,109],"limited":[45],"predictive":[46],"performance.":[47],"This":[48],"paper":[49],"proposes":[50],"a":[51,96],"multi-view":[52,71],"deep":[53],"learning":[54],"framework":[55],"to":[56],"predict":[57],"future":[58],"at":[61],"the":[62,76,132],"individual":[63],"level":[64],"based":[65],"historical":[67],"claims":[68],"data.":[69],"Our":[70],"approach":[72],"can":[73],"effectively":[74],"model":[75],"heterogeneous":[77],"information,":[78],"including":[79],"demographic":[81],"features,":[82],"codes,":[84],"drug":[85],"usages,":[86],"facility":[88],"utilization.":[89],"We":[90],"conducted":[91],"forecasting":[93],"tasks":[94],"real-world":[97],"pediatric":[98],"dataset":[99],"that":[100,110],"contains":[101],"more":[102],"than":[103],"450,000":[104],"patients.":[105],"The":[106],"empirical":[107],"results":[108],"our":[111],"proposed":[112],"method":[113],"outperforms":[114],"all":[115],"baselines":[116],"for":[117],"expenditure.":[120],"These":[121],"findings":[122],"help":[123],"toward":[124],"better":[125],"preventive":[126],"domain.":[134]},"counts_by_year":[{"year":2026,"cited_by_count":3},{"year":2025,"cited_by_count":13},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":8},{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":2}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}