{"id":"https://openalex.org/W4391943156","doi":"https://doi.org/10.1145/3648105","title":"Interpretable Trend Analysis Neural Networks for Longitudinal Data Analysis","display_name":"Interpretable Trend Analysis Neural Networks for Longitudinal Data Analysis","publication_year":2024,"publication_date":"2024-02-19","ids":{"openalex":"https://openalex.org/W4391943156","doi":"https://doi.org/10.1145/3648105"},"language":"en","primary_location":{"id":"doi:10.1145/3648105","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3648105","pdf_url":null,"source":{"id":"https://openalex.org/S4210174653","display_name":"ACM Transactions on Computing for Healthcare","issn_l":"2637-8051","issn":["2637-8051","2691-1957"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM Transactions on Computing for Healthcare","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5084907331","display_name":"Zhenjie Yao","orcid":"https://orcid.org/0000-0003-1027-637X"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210119392","display_name":"Institute of Microelectronics","ror":"https://ror.org/02s6gs133","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210119392"]},{"id":"https://openalex.org/I4210155350","display_name":"Purple Mountain Laboratories","ror":"https://ror.org/04zcbk583","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210155350"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Zhenjie Yao","raw_affiliation_strings":["Institute of Microelectronics, Key Laboratory of Fabrication Technologies for Integrated Circuits, Chinese Academy of Sciences, Beijing, China and Purple Mountain Laboratory, Nanjing, China"],"affiliations":[{"raw_affiliation_string":"Institute of Microelectronics, Key Laboratory of Fabrication Technologies for Integrated Circuits, Chinese Academy of Sciences, Beijing, China and Purple Mountain Laboratory, Nanjing, China","institution_ids":["https://openalex.org/I4210155350","https://openalex.org/I19820366","https://openalex.org/I4210119392"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100393445","display_name":"Yixin Chen","orcid":"https://orcid.org/0000-0002-3704-4432"},"institutions":[{"id":"https://openalex.org/I204465549","display_name":"Washington University in St. Louis","ror":"https://ror.org/01yc7t268","country_code":"US","type":"education","lineage":["https://openalex.org/I204465549"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yixin Chen","raw_affiliation_strings":["Washington University, St. Louis, MO, USA"],"affiliations":[{"raw_affiliation_string":"Washington University, St. Louis, MO, USA","institution_ids":["https://openalex.org/I204465549"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100630404","display_name":"Jinwei Wang","orcid":"https://orcid.org/0000-0003-0128-8408"},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]},{"id":"https://openalex.org/I4210130930","display_name":"Peking University First Hospital","ror":"https://ror.org/02z1vqm45","country_code":"CN","type":"healthcare","lineage":["https://openalex.org/I4210130930"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jinwei Wang","raw_affiliation_strings":["Renal Division, Department of Medicine, Peking University First Hospital, Beijing, China and National Institute of Health Data Science at Peking University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Renal Division, Department of Medicine, Peking University First Hospital, Beijing, China and National Institute of Health Data Science at Peking University, Beijing, China","institution_ids":["https://openalex.org/I4210130930","https://openalex.org/I20231570"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5052970439","display_name":"Junjuan Li","orcid":"https://orcid.org/0000-0001-6110-7635"},"institutions":[{"id":"https://openalex.org/I137506752","display_name":"North China University of Science and Technology","ror":"https://ror.org/04z4wmb81","country_code":"CN","type":"education","lineage":["https://openalex.org/I137506752"]},{"id":"https://openalex.org/I4210109698","display_name":"Kailuan General Hospital","ror":"https://ror.org/01kwdp645","country_code":"CN","type":"healthcare","lineage":["https://openalex.org/I4210109698"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Junjuan Li","raw_affiliation_strings":["Department of Cardiology, Kailuan General Hospital Affiliated to North China University of Science and Technology, Tangshan, China"],"affiliations":[{"raw_affiliation_string":"Department of Cardiology, Kailuan General Hospital Affiliated to North China University of Science and Technology, Tangshan, China","institution_ids":["https://openalex.org/I4210109698","https://openalex.org/I137506752"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5014625543","display_name":"Shuohua Chen","orcid":"https://orcid.org/0000-0002-6274-7471"},"institutions":[{"id":"https://openalex.org/I137506752","display_name":"North China University of Science and Technology","ror":"https://ror.org/04z4wmb81","country_code":"CN","type":"education","lineage":["https://openalex.org/I137506752"]},{"id":"https://openalex.org/I4210109698","display_name":"Kailuan General Hospital","ror":"https://ror.org/01kwdp645","country_code":"CN","type":"healthcare","lineage":["https://openalex.org/I4210109698"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shuohua Chen","raw_affiliation_strings":["Department of Cardiology, Kailuan General Hospital Affiliated to North China University of Science and Technology, Tangshan, China"],"affiliations":[{"raw_affiliation_string":"Department of Cardiology, Kailuan General Hospital Affiliated to North China University of Science and Technology, Tangshan, China","institution_ids":["https://openalex.org/I4210109698","https://openalex.org/I137506752"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5074025151","display_name":"Shouling Wu","orcid":"https://orcid.org/0000-0001-7095-6022"},"institutions":[{"id":"https://openalex.org/I137506752","display_name":"North China University of Science and Technology","ror":"https://ror.org/04z4wmb81","country_code":"CN","type":"education","lineage":["https://openalex.org/I137506752"]},{"id":"https://openalex.org/I4210109698","display_name":"Kailuan General Hospital","ror":"https://ror.org/01kwdp645","country_code":"CN","type":"healthcare","lineage":["https://openalex.org/I4210109698"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shouling Wu","raw_affiliation_strings":["Department of Cardiology, Kailuan General Hospital Affiliated to North China University of Science and Technology, Tangshan, China"],"affiliations":[{"raw_affiliation_string":"Department of Cardiology, Kailuan General Hospital Affiliated to North China University of Science and Technology, Tangshan, China","institution_ids":["https://openalex.org/I4210109698","https://openalex.org/I137506752"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103829995","display_name":"Yanhui Tu","orcid":"https://orcid.org/0000-0002-2923-958X"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yanhui Tu","raw_affiliation_strings":["Shandong Future Network Research Institute, Jinan, China"],"affiliations":[{"raw_affiliation_string":"Shandong Future Network Research Institute, Jinan, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5008236609","display_name":"Ming\u2010Hui Zhao","orcid":"https://orcid.org/0000-0003-3340-3108"},"institutions":[{"id":"https://openalex.org/I200296433","display_name":"Chinese Academy of Medical Sciences & Peking Union Medical College","ror":"https://ror.org/02drdmm93","country_code":"CN","type":"education","lineage":["https://openalex.org/I200296433"]},{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]},{"id":"https://openalex.org/I4210130930","display_name":"Peking University First Hospital","ror":"https://ror.org/02z1vqm45","country_code":"CN","type":"healthcare","lineage":["https://openalex.org/I4210130930"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ming-Hui Zhao","raw_affiliation_strings":["National Institute of Health Data Science at Peking University, Beijing, China and Renal Division, Department of Medicine, Peking University First Hospital, Beijing, China and Chinese Academy of Medical Sciences, Beijing, China"],"affiliations":[{"raw_affiliation_string":"National Institute of Health Data Science at Peking University, Beijing, China and Renal Division, Department of Medicine, Peking University First Hospital, Beijing, China and Chinese Academy of Medical Sciences, Beijing, China","institution_ids":["https://openalex.org/I200296433","https://openalex.org/I4210130930","https://openalex.org/I20231570"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5063338849","display_name":"Luxia Zhang","orcid":"https://orcid.org/0000-0003-2349-2936"},"institutions":[{"id":"https://openalex.org/I200296433","display_name":"Chinese Academy of Medical Sciences & Peking Union Medical College","ror":"https://ror.org/02drdmm93","country_code":"CN","type":"education","lineage":["https://openalex.org/I200296433"]},{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]},{"id":"https://openalex.org/I4210130930","display_name":"Peking University First Hospital","ror":"https://ror.org/02z1vqm45","country_code":"CN","type":"healthcare","lineage":["https://openalex.org/I4210130930"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Luxia Zhang","raw_affiliation_strings":["National Institute of Health Data Science at Peking University, Beijing, China and Renal Division, Department of Medicine, Peking University First Hospital, Beijing, China and Chinese Academy of Medical Sciences, Beijing, China"],"affiliations":[{"raw_affiliation_string":"National Institute of Health Data Science at Peking University, Beijing, China and Renal Division, Department of Medicine, Peking University First Hospital, Beijing, China and Chinese Academy of Medical Sciences, Beijing, China","institution_ids":["https://openalex.org/I200296433","https://openalex.org/I4210130930","https://openalex.org/I20231570"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":9,"corresponding_author_ids":["https://openalex.org/A5084907331"],"corresponding_institution_ids":["https://openalex.org/I19820366","https://openalex.org/I4210119392","https://openalex.org/I4210155350"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.01580986,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"5","issue":"2","first_page":"1","last_page":"13"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12205","display_name":"Time Series Analysis and Forecasting","score":0.9987999796867371,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/T12205","display_name":"Time Series Analysis and Forecasting","score":0.9987999796867371,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9815000295639038,"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/T12761","display_name":"Data Stream Mining Techniques","score":0.972100019454956,"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/artificial-neural-network","display_name":"Artificial neural network","score":0.631678581237793},{"id":"https://openalex.org/keywords/longitudinal-data","display_name":"Longitudinal data","score":0.5819317698478699},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.46066680550575256},{"id":"https://openalex.org/keywords/network-analysis","display_name":"Network analysis","score":0.45269542932510376},{"id":"https://openalex.org/keywords/econometrics","display_name":"Econometrics","score":0.37477752566337585},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.35265016555786133},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.25882458686828613},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.1662566065788269},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.09419706463813782}],"concepts":[{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.631678581237793},{"id":"https://openalex.org/C3020672099","wikidata":"https://www.wikidata.org/wiki/Q857354","display_name":"Longitudinal data","level":2,"score":0.5819317698478699},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.46066680550575256},{"id":"https://openalex.org/C32946077","wikidata":"https://www.wikidata.org/wiki/Q618079","display_name":"Network analysis","level":2,"score":0.45269542932510376},{"id":"https://openalex.org/C149782125","wikidata":"https://www.wikidata.org/wiki/Q160039","display_name":"Econometrics","level":1,"score":0.37477752566337585},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.35265016555786133},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.25882458686828613},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1662566065788269},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.09419706463813782},{"id":"https://openalex.org/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3648105","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3648105","pdf_url":null,"source":{"id":"https://openalex.org/S4210174653","display_name":"ACM Transactions on Computing for Healthcare","issn_l":"2637-8051","issn":["2637-8051","2691-1957"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM Transactions on Computing for Healthcare","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1662555432","display_name":null,"funder_award_id":"72125009, 91846101, 81771938, 81900665, 82003529, and 82090021","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320317014","display_name":"Bethune Charitable Foundation","ror":null},{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":32,"referenced_works":["https://openalex.org/W1522301498","https://openalex.org/W1730782591","https://openalex.org/W2029438113","https://openalex.org/W2043881884","https://openalex.org/W2052825782","https://openalex.org/W2054358221","https://openalex.org/W2094325876","https://openalex.org/W2133959349","https://openalex.org/W2149860264","https://openalex.org/W2160815625","https://openalex.org/W2295959708","https://openalex.org/W2306394264","https://openalex.org/W2574331167","https://openalex.org/W2602856279","https://openalex.org/W2604236181","https://openalex.org/W2764024122","https://openalex.org/W2889611173","https://openalex.org/W2889846135","https://openalex.org/W2911628720","https://openalex.org/W2919115771","https://openalex.org/W2928673187","https://openalex.org/W2952312197","https://openalex.org/W3003213187","https://openalex.org/W3085389083","https://openalex.org/W3094502228","https://openalex.org/W3147894994","https://openalex.org/W3194668998","https://openalex.org/W4205110529","https://openalex.org/W4244512923","https://openalex.org/W4385245566","https://openalex.org/W6631190155","https://openalex.org/W6739901393"],"related_works":["https://openalex.org/W2391251536","https://openalex.org/W2362198218","https://openalex.org/W1982750869","https://openalex.org/W2019521278","https://openalex.org/W1984922432","https://openalex.org/W2113077220","https://openalex.org/W2375008505","https://openalex.org/W2350679292","https://openalex.org/W2086348228","https://openalex.org/W4390653028"],"abstract_inverted_index":{"Cohort":[0],"study":[1,9],"is":[2,105,108,195],"one":[3],"of":[4,32,37,59,71,80,102,114,119,167,175],"the":[5,34,38,56,60,103,148,165,176,191],"most":[6],"commonly":[7],"used":[8],"methods":[10,28],"in":[11,19,40],"medical":[12,91],"and":[13,25,85,95,125,133,202],"public":[14],"health":[15],"researches,":[16],"which":[17,54,107,178],"result":[18],"longitudinal":[20,41],"data.":[21,42],"Conventional":[22],"statistical":[23],"models":[24,55],"machine":[26,183],"learning":[27,184],"are":[29,127,179],"not":[30],"capable":[31],"modeling":[33],"evolution":[35,57],"trend":[36,58,187],"variables":[39,61],"In":[43],"this":[44],"article,":[45],"we":[46,169],"propose":[47],"a":[48,109],"Trend":[49],"Analysis":[50],"Neural":[51],"Networks":[52],"(TANN),":[53],"by":[62,163,181],"adaptive":[63],"feature":[64],"learning.":[65],"TANN":[66,104,139,150,194],"was":[67,76],"tested":[68],"on":[69,155],"dataset":[70],"Kaiuan":[72],"research.":[73],"The":[74,100,143,186],"task":[75],"to":[77],"predict":[78],"occurrence":[79],"cardiovascular":[81,156],"events":[82,157],"within":[83],"2":[84],"5":[86],"years,":[87],"with":[88],"three":[89],"repeated":[90],"examinations":[92],"during":[93],"2008":[94],"2013.":[96],"For":[97,136],"2-year":[98],"prediction,":[99,138],"AUC":[101],"0.7378,":[106],"significant":[110],"improvement":[111],"than":[112,159],"that":[113,118,147],"conventional":[115,160,182],"methods,":[116],"while":[117],"TRNS,":[120],"RNN,":[121],"DNN,":[122],"GBDT,":[123],"RF,":[124],"LR":[126],"0.7222,":[128],"0.7034,":[129],"0.7054,":[130],"0.7136,":[131],"0.7160,":[132],"0.7024,":[134],"respectively.":[135],"5-year":[137],"also":[140],"shows":[141],"improvement.":[142],"experimental":[144],"results":[145],"show":[146],"proposed":[149],"achieves":[151],"better":[152],"prediction":[153,158],"performance":[154,201],"models.":[161,185],"Furthermore,":[162],"analyzing":[164],"weights":[166],"TANN,":[168],"could":[170],"find":[171],"out":[172],"important":[173],"trends":[174],"indicators,":[177],"ignored":[180],"discovery":[188],"mechanism":[189],"interprets":[190],"model":[192],"well.":[193],"an":[196],"appropriate":[197],"balance":[198],"between":[199],"high":[200],"interpretability.":[203]},"counts_by_year":[],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}