{"id":"https://openalex.org/W4205110529","doi":"https://doi.org/10.1109/bigdata52589.2021.9671590","title":"Trend Analysis Neural Networks for Interpretable Analysis of Longitudinal Data","display_name":"Trend Analysis Neural Networks for Interpretable Analysis of Longitudinal Data","publication_year":2021,"publication_date":"2021-12-15","ids":{"openalex":"https://openalex.org/W4205110529","doi":"https://doi.org/10.1109/bigdata52589.2021.9671590"},"language":"en","primary_location":{"id":"doi:10.1109/bigdata52589.2021.9671590","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bigdata52589.2021.9671590","pdf_url":null,"source":{"id":"https://openalex.org/S4363607718","display_name":"2021 IEEE International Conference on Big Data (Big Data)","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":"2021 IEEE International Conference on Big Data (Big Data)","raw_type":"proceedings-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":"funder","lineage":["https://openalex.org/I19820366"]},{"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"]},{"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"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Zhenjie Yao","raw_affiliation_strings":["Institute of Microelectronics, Chinese Academy of Sciences, Beijing, China","Purple Mountain Laboratories, Nanjing, China","Shandong Future Network Research Institute, China"],"affiliations":[{"raw_affiliation_string":"Institute of Microelectronics, Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210119392","https://openalex.org/I19820366"]},{"raw_affiliation_string":"Purple Mountain Laboratories, Nanjing, China","institution_ids":["https://openalex.org/I4210155350"]},{"raw_affiliation_string":"Shandong Future Network Research Institute, China","institution_ids":[]}]},{"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":["Department of Computer Science and Engineering, Washington University in St.Louis, St.Louis, USA"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, Washington University in St.Louis, St.Louis, 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/I4210130930","display_name":"Peking University First Hospital","ror":"https://ror.org/02z1vqm45","country_code":"CN","type":"healthcare","lineage":["https://openalex.org/I4210130930"]},{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jinwei Wang","raw_affiliation_strings":["Department of Medicine, Renal Division, Peking University First Hospital, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Department of Medicine, Renal Division, Peking University First Hospital, Beijing, China","institution_ids":["https://openalex.org/I4210130930","https://openalex.org/I20231570"]}]},{"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/I4210109698","display_name":"Kailuan General Hospital","ror":"https://ror.org/01kwdp645","country_code":"CN","type":"healthcare","lineage":["https://openalex.org/I4210109698"]},{"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"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shouling Wu","raw_affiliation_strings":["Departments of Cardiology, Kailuan General Hospital Affiliated to North China University of Science and Technology, Tangshan, China"],"affiliations":[{"raw_affiliation_string":"Departments 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":[{"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"]},{"id":"https://openalex.org/I4210101451","display_name":"Nanjing Institute of Industry Technology","ror":"https://ror.org/00qf07q44","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210101451"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yanhui Tu","raw_affiliation_strings":["Nanjing Future Network Industry Innovation Co., LTD, Nanjing, China","Purple Mountain Laboratories, Nanjing, China","Shandong Future Network Research Institute, China"],"affiliations":[{"raw_affiliation_string":"Nanjing Future Network Industry Innovation Co., LTD, Nanjing, China","institution_ids":["https://openalex.org/I4210101451"]},{"raw_affiliation_string":"Purple Mountain Laboratories, Nanjing, China","institution_ids":["https://openalex.org/I4210155350"]},{"raw_affiliation_string":"Shandong Future Network Research Institute, 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/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]},{"id":"https://openalex.org/I4210160507","display_name":"Center for Life Sciences","ror":"https://ror.org/05kje8j93","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570","https://openalex.org/I4210160507","https://openalex.org/I99065089"]},{"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":"Minghui Zhao","raw_affiliation_strings":["Department of Medicine, Renal Division, Peking University First Hospital, Beijing, China","Peking-Tsinghua Center for Life Sciences, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Department of Medicine, Renal Division, Peking University First Hospital, Beijing, China","institution_ids":["https://openalex.org/I4210130930","https://openalex.org/I20231570"]},{"raw_affiliation_string":"Peking-Tsinghua Center for Life Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210160507"]}]},{"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/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":["Center for Data Science in Health and Medicine, Peking University, Beijing, China","Department of Medicine, Renal Division, Peking University First Hospital, Beijing, China","National Institute of Health Data Science at Peking University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Center for Data Science in Health and Medicine, Peking University, Beijing, China","institution_ids":["https://openalex.org/I20231570"]},{"raw_affiliation_string":"Department of Medicine, Renal Division, Peking University First Hospital, Beijing, China","institution_ids":["https://openalex.org/I4210130930","https://openalex.org/I20231570"]},{"raw_affiliation_string":"National Institute of Health Data Science at Peking University, Beijing, China","institution_ids":["https://openalex.org/I20231570"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":7,"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":0.1257,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.38549262,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"6061","last_page":"6063"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T13702","display_name":"Machine Learning in Healthcare","score":0.9904000163078308,"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":0.9904000163078308,"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":0.9700000286102295,"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/T11052","display_name":"Energy Load and Power Forecasting","score":0.9488999843597412,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/interpretability","display_name":"Interpretability","score":0.8694902658462524},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6430429816246033},{"id":"https://openalex.org/keywords/rare-events","display_name":"Rare events","score":0.5647788643836975},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.548051118850708},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.5372908115386963},{"id":"https://openalex.org/keywords/logistic-regression","display_name":"Logistic regression","score":0.5156239867210388},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5047005414962769},{"id":"https://openalex.org/keywords/regression","display_name":"Regression","score":0.49753740429878235},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.48785972595214844},{"id":"https://openalex.org/keywords/econometrics","display_name":"Econometrics","score":0.37920844554901123},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.2785813808441162},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.10578465461730957}],"concepts":[{"id":"https://openalex.org/C2781067378","wikidata":"https://www.wikidata.org/wiki/Q17027399","display_name":"Interpretability","level":2,"score":0.8694902658462524},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6430429816246033},{"id":"https://openalex.org/C2777317252","wikidata":"https://www.wikidata.org/wiki/Q18393516","display_name":"Rare events","level":2,"score":0.5647788643836975},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.548051118850708},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5372908115386963},{"id":"https://openalex.org/C151956035","wikidata":"https://www.wikidata.org/wiki/Q1132755","display_name":"Logistic regression","level":2,"score":0.5156239867210388},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5047005414962769},{"id":"https://openalex.org/C83546350","wikidata":"https://www.wikidata.org/wiki/Q1139051","display_name":"Regression","level":2,"score":0.49753740429878235},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.48785972595214844},{"id":"https://openalex.org/C149782125","wikidata":"https://www.wikidata.org/wiki/Q160039","display_name":"Econometrics","level":1,"score":0.37920844554901123},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.2785813808441162},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.10578465461730957},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/bigdata52589.2021.9671590","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bigdata52589.2021.9671590","pdf_url":null,"source":{"id":"https://openalex.org/S4363607718","display_name":"2021 IEEE International Conference on Big Data (Big Data)","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":"2021 IEEE International Conference on Big Data (Big Data)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320309618","display_name":"Ministry of Science and Technology","ror":"https://ror.org/02b207r52"},{"id":"https://openalex.org/F4320318547","display_name":"Baidu","ror":"https://ror.org/03vs3wt56"},{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320334111","display_name":"Innovation Fund","ror":null},{"id":"https://openalex.org/F4320334978","display_name":"Beijing Nova Program","ror":"https://ror.org/034k14f91"},{"id":"https://openalex.org/F4320338440","display_name":"HORIZON EUROPE Health","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":12,"referenced_works":["https://openalex.org/W1522301498","https://openalex.org/W2043881884","https://openalex.org/W2094325876","https://openalex.org/W2160815625","https://openalex.org/W2487589373","https://openalex.org/W2889611173","https://openalex.org/W2889846135","https://openalex.org/W2919115771","https://openalex.org/W3085389083","https://openalex.org/W4252697782","https://openalex.org/W6631190155","https://openalex.org/W6722646694"],"related_works":["https://openalex.org/W2905433371","https://openalex.org/W4361193272","https://openalex.org/W4310278675","https://openalex.org/W2806259446","https://openalex.org/W2963326959","https://openalex.org/W4312407344","https://openalex.org/W4384115502","https://openalex.org/W4226258012","https://openalex.org/W4383681494","https://openalex.org/W3211735916"],"abstract_inverted_index":{"Cohort":[0],"study":[1,9],"is":[2,99,102,115,121,128,174],"one":[3],"of":[4,32,37,59,71,80,96,108,113,118,125,154,162],"the":[5,34,38,56,60,97,135,152,163,170],"most":[6],"commonly":[7],"used":[8],"methods":[10,28],"in":[11,19,40],"medical":[12,88],"and":[13,25,123,181],"public":[14],"health":[15],"researches,":[16],"which":[17,54,101],"result":[18],"longitudinal":[20,41],"data.":[21,42],"Conventional":[22],"statistical":[23],"models":[24,55],"machine":[26],"learning":[27],"are":[29],"not":[30],"capable":[31],"modeling":[33],"evolution":[35,57],"trend":[36,58,166],"variables":[39,61],"In":[43],"this":[44],"paper,":[45],"we":[46,156],"propose":[47],"a":[48,103],"Trend":[49],"Analysis":[50],"Neural":[51],"Networks":[52],"(TANN),":[53],"by":[62,150],"adaptive":[63],"feature":[64],"learning.":[65],"TANN":[66,98,137,173],"was":[67,76],"tested":[68],"on":[69,142],"dataset":[70],"Kaiuan":[72],"research.":[73],"The":[74,94,130,165],"task":[75],"to":[77,92],"predict":[78],"occurrence":[79],"death":[81,143],"within":[82],"5":[83],"years,":[84],"with":[85],"3":[86],"repeated":[87],"examinations":[89],"from":[90],"2008":[91],"2013.":[93],"AUC":[95],"0.7888,":[100],"slightly":[104],"improvement":[105],"than":[106,146],"that":[107,112,117,124,134],"conventional":[109,147],"methods,":[110],"while":[111],"GBDT":[114],"0.7824,":[116],"random":[119],"forests":[120],"0.7822,":[122],"logistic":[126],"regression":[127],"0.7789.":[129],"experimental":[131],"results":[132],"show":[133],"proposed":[136],"achieves":[138],"better":[139],"prediction":[140,145],"performance":[141,180],"events":[144],"models.":[148],"Furthermore,":[149],"analyzing":[151],"weights":[153],"TANN,":[155],"could":[157],"find":[158],"out":[159],"important":[160],"trends":[161],"indicators.":[164],"discovery":[167],"mechanism":[168],"interprets":[169],"model":[171],"well.":[172],"an":[175],"appropriate":[176],"trade-off":[177],"between":[178],"high":[179],"interpretability.":[182]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
