{"id":"https://openalex.org/W4318147793","doi":"https://doi.org/10.1109/bigdata55660.2022.10021034","title":"Tracking trajectories of multiple long-term conditions using dynamic patient-cluster associations","display_name":"Tracking trajectories of multiple long-term conditions using dynamic patient-cluster associations","publication_year":2022,"publication_date":"2022-12-17","ids":{"openalex":"https://openalex.org/W4318147793","doi":"https://doi.org/10.1109/bigdata55660.2022.10021034"},"language":"en","primary_location":{"id":"doi:10.1109/bigdata55660.2022.10021034","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/bigdata55660.2022.10021034","pdf_url":null,"source":{"id":"https://openalex.org/S4363607709","display_name":"2022 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":"2022 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/A5002225862","display_name":"Ron Kremer","orcid":null},"institutions":[{"id":"https://openalex.org/I84884186","display_name":"Newcastle University","ror":"https://ror.org/01kj2bm70","country_code":"GB","type":"education","lineage":["https://openalex.org/I84884186"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Ron Kremer","raw_affiliation_strings":["Newcastle University,School of Computing,Newcastle upon Tyne,UK","School of Computing, Newcastle University, Newcastle upon Tyne, UK"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Newcastle University,School of Computing,Newcastle upon Tyne,UK","institution_ids":["https://openalex.org/I84884186"]},{"raw_affiliation_string":"School of Computing, Newcastle University, Newcastle upon Tyne, UK","institution_ids":["https://openalex.org/I84884186"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5029716250","display_name":"Syed Mohib Raza","orcid":"https://orcid.org/0000-0003-1743-8415"},"institutions":[{"id":"https://openalex.org/I84884186","display_name":"Newcastle University","ror":"https://ror.org/01kj2bm70","country_code":"GB","type":"education","lineage":["https://openalex.org/I84884186"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Syed Mohib Raza","raw_affiliation_strings":["Newcastle University,School of Computing,Newcastle upon Tyne,UK","School of Computing, Newcastle University, Newcastle upon Tyne, UK"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Newcastle University,School of Computing,Newcastle upon Tyne,UK","institution_ids":["https://openalex.org/I84884186"]},{"raw_affiliation_string":"School of Computing, Newcastle University, Newcastle upon Tyne, UK","institution_ids":["https://openalex.org/I84884186"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5054495091","display_name":"Fab\u00edola Eto","orcid":"https://orcid.org/0000-0002-0203-8649"},"institutions":[{"id":"https://openalex.org/I166337079","display_name":"Queen Mary University of London","ror":"https://ror.org/026zzn846","country_code":"GB","type":"education","lineage":["https://openalex.org/I124357947","https://openalex.org/I166337079"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Fabiola Eto","raw_affiliation_strings":["Queen Mary University of London,Wolfson Institute of Population Health,London,UK","Wolfson Institute of Population Health, Queen Mary University of London, London, UK"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Queen Mary University of London,Wolfson Institute of Population Health,London,UK","institution_ids":["https://openalex.org/I166337079"]},{"raw_affiliation_string":"Wolfson Institute of Population Health, Queen Mary University of London, London, UK","institution_ids":["https://openalex.org/I166337079"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5034963605","display_name":"John Casement","orcid":"https://orcid.org/0000-0003-3514-7259"},"institutions":[{"id":"https://openalex.org/I84884186","display_name":"Newcastle University","ror":"https://ror.org/01kj2bm70","country_code":"GB","type":"education","lineage":["https://openalex.org/I84884186"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"John Casement","raw_affiliation_strings":["Newcastle University,Bioinformatics Support Unit,Newcastle upon Tyne,UK","Bioinformatics Support Unit, Newcastle University, Newcastle upon Tyne, UK"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Newcastle University,Bioinformatics Support Unit,Newcastle upon Tyne,UK","institution_ids":["https://openalex.org/I84884186"]},{"raw_affiliation_string":"Bioinformatics Support Unit, Newcastle University, Newcastle upon Tyne, UK","institution_ids":["https://openalex.org/I84884186"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5053891044","display_name":"Christian Atallah","orcid":"https://orcid.org/0000-0002-4853-4189"},"institutions":[{"id":"https://openalex.org/I84884186","display_name":"Newcastle University","ror":"https://ror.org/01kj2bm70","country_code":"GB","type":"education","lineage":["https://openalex.org/I84884186"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Christian Atallah","raw_affiliation_strings":["Newcastle University,Bioinformatics Support Unit,Newcastle upon Tyne,UK","Bioinformatics Support Unit, Newcastle University, Newcastle upon Tyne, UK"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Newcastle University,Bioinformatics Support Unit,Newcastle upon Tyne,UK","institution_ids":["https://openalex.org/I84884186"]},{"raw_affiliation_string":"Bioinformatics Support Unit, Newcastle University, Newcastle upon Tyne, UK","institution_ids":["https://openalex.org/I84884186"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5069990324","display_name":"Sarah Finer","orcid":"https://orcid.org/0000-0002-2684-4653"},"institutions":[{"id":"https://openalex.org/I166337079","display_name":"Queen Mary University of London","ror":"https://ror.org/026zzn846","country_code":"GB","type":"education","lineage":["https://openalex.org/I124357947","https://openalex.org/I166337079"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Sarah Finer","raw_affiliation_strings":["Queen Mary University of London,Wolfson Institute of Population Health,London,UK","Wolfson Institute of Population Health, Queen Mary University of London, London, UK"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Queen Mary University of London,Wolfson Institute of Population Health,London,UK","institution_ids":["https://openalex.org/I166337079"]},{"raw_affiliation_string":"Wolfson Institute of Population Health, Queen Mary University of London, London, UK","institution_ids":["https://openalex.org/I166337079"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5024068279","display_name":"Dennis Lendrem","orcid":"https://orcid.org/0000-0001-6268-5509"},"institutions":[{"id":"https://openalex.org/I84884186","display_name":"Newcastle University","ror":"https://ror.org/01kj2bm70","country_code":"GB","type":"education","lineage":["https://openalex.org/I84884186"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Dennis Lendrem","raw_affiliation_strings":["Newcastle University,Faculty of Medical Sciences,Newcastle upon Tyne,UK","Faculty of Medical Sciences, Newcastle University, Newcastle upon Tyne, UK"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Newcastle University,Faculty of Medical Sciences,Newcastle upon Tyne,UK","institution_ids":["https://openalex.org/I84884186"]},{"raw_affiliation_string":"Faculty of Medical Sciences, Newcastle University, Newcastle upon Tyne, UK","institution_ids":["https://openalex.org/I84884186"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5104831267","display_name":"Michael R. Barnes","orcid":"https://orcid.org/0000-0001-9097-7381"},"institutions":[{"id":"https://openalex.org/I166337079","display_name":"Queen Mary University of London","ror":"https://ror.org/026zzn846","country_code":"GB","type":"education","lineage":["https://openalex.org/I124357947","https://openalex.org/I166337079"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Michael Barnes","raw_affiliation_strings":["Queen Mary University of London,Centre For Translational Bioinformatics,London,UK","Centre For Translational Bioinformatics, Queen Mary University of London, London, UK"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Queen Mary University of London,Centre For Translational Bioinformatics,London,UK","institution_ids":["https://openalex.org/I166337079"]},{"raw_affiliation_string":"Centre For Translational Bioinformatics, Queen Mary University of London, London, UK","institution_ids":["https://openalex.org/I166337079"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5029600332","display_name":"Nick J. Reynolds","orcid":"https://orcid.org/0000-0002-6484-825X"},"institutions":[{"id":"https://openalex.org/I84884186","display_name":"Newcastle University","ror":"https://ror.org/01kj2bm70","country_code":"GB","type":"education","lineage":["https://openalex.org/I84884186"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Nick J Reynolds","raw_affiliation_strings":["Newcastle University,Faculty of Medical Sciences,Newcastle upon Tyne,UK","Faculty of Medical Sciences, Newcastle University, Newcastle upon Tyne, UK"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Newcastle University,Faculty of Medical Sciences,Newcastle upon Tyne,UK","institution_ids":["https://openalex.org/I84884186"]},{"raw_affiliation_string":"Faculty of Medical Sciences, Newcastle University, Newcastle upon Tyne, UK","institution_ids":["https://openalex.org/I84884186"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5018918066","display_name":"Paolo Missier","orcid":"https://orcid.org/0000-0002-0978-2446"},"institutions":[{"id":"https://openalex.org/I84884186","display_name":"Newcastle University","ror":"https://ror.org/01kj2bm70","country_code":"GB","type":"education","lineage":["https://openalex.org/I84884186"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Paolo Missier","raw_affiliation_strings":["Newcastle University,School of Computing,Newcastle upon Tyne,UK","School of Computing, Newcastle University, Newcastle upon Tyne, UK"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Newcastle University,School of Computing,Newcastle upon Tyne,UK","institution_ids":["https://openalex.org/I84884186"]},{"raw_affiliation_string":"School of Computing, Newcastle University, Newcastle upon Tyne, UK","institution_ids":["https://openalex.org/I84884186"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":10,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.6847,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.81774194,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"28","issue":null,"first_page":"4390","last_page":"4399"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12246","display_name":"Chronic Disease Management Strategies","score":1.0,"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"}},"topics":[{"id":"https://openalex.org/T12246","display_name":"Chronic Disease Management Strategies","score":1.0,"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/T13702","display_name":"Machine Learning in Healthcare","score":0.9919000267982483,"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/T14400","display_name":"Medical Coding and Health Information","score":0.9861999750137329,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6118402481079102},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.5681754946708679},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.5464994311332703},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.5419377684593201},{"id":"https://openalex.org/keywords/biobank","display_name":"Biobank","score":0.4606260359287262},{"id":"https://openalex.org/keywords/term","display_name":"Term (time)","score":0.43683671951293945},{"id":"https://openalex.org/keywords/cluster","display_name":"Cluster (spacecraft)","score":0.43173885345458984},{"id":"https://openalex.org/keywords/metric","display_name":"Metric (unit)","score":0.411256343126297},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.40596795082092285},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.31199467182159424},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.14812695980072021},{"id":"https://openalex.org/keywords/bioinformatics","display_name":"Bioinformatics","score":0.13371405005455017}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6118402481079102},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.5681754946708679},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.5464994311332703},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.5419377684593201},{"id":"https://openalex.org/C116567970","wikidata":"https://www.wikidata.org/wiki/Q864217","display_name":"Biobank","level":2,"score":0.4606260359287262},{"id":"https://openalex.org/C61797465","wikidata":"https://www.wikidata.org/wiki/Q1188986","display_name":"Term (time)","level":2,"score":0.43683671951293945},{"id":"https://openalex.org/C164866538","wikidata":"https://www.wikidata.org/wiki/Q367351","display_name":"Cluster (spacecraft)","level":2,"score":0.43173885345458984},{"id":"https://openalex.org/C176217482","wikidata":"https://www.wikidata.org/wiki/Q860554","display_name":"Metric (unit)","level":2,"score":0.411256343126297},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.40596795082092285},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.31199467182159424},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.14812695980072021},{"id":"https://openalex.org/C60644358","wikidata":"https://www.wikidata.org/wiki/Q128570","display_name":"Bioinformatics","level":1,"score":0.13371405005455017},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C21547014","wikidata":"https://www.wikidata.org/wiki/Q1423657","display_name":"Operations management","level":1,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1109/bigdata55660.2022.10021034","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/bigdata55660.2022.10021034","pdf_url":null,"source":{"id":"https://openalex.org/S4363607709","display_name":"2022 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":"2022 IEEE International Conference on Big Data (Big Data)","raw_type":"proceedings-article"},{"id":"pmh:oai:pure.atira.dk:openaire_cris_publications/b7f5b355-d83f-4d65-a95a-4a6f2fe2a1cb","is_oa":false,"landing_page_url":"http://www.scopus.com/inward/record.url?scp=85147934261&partnerID=8YFLogxK","pdf_url":null,"source":{"id":"https://openalex.org/S4306402634","display_name":"University of Birmingham Research Portal (University of Birmingham)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I79619799","host_organization_name":"University of Birmingham","host_organization_lineage":["https://openalex.org/I79619799"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Kremer , R , Raza , S M , Eto , F , Casement , J , Atallah , C , Finer , S , Lendrem , D , Barnes , M , Reynolds , N J & Missier , P 2023 , Tracking trajectories of multiple long-term conditions using dynamic patient-cluster associations . in S Tsumoto , Y Ohsawa , L Chen , D Van den Poel , X Hu , Y Motomura , T Takagi , L Wu , Y Xie , A Abe & V Raghavan (eds) , 2022 IEEE International Conference on Big Data . Proceedings - 2022 IEEE International Conference on Big Data, Big Data 2022 , Institute of Electrical and Electronics Engineers (IEEE) , pp. 4390-4399 , 2022 IEEE International Conference on Big Data, Big Data 2022 , Osaka , Japan , 17/12/22 . https://doi.org/10.1109/BigData55660.2022.10021034","raw_type":"contributionToPeriodical"},{"id":"pmh:oai:pure.atira.dk:publications/b7f5b355-d83f-4d65-a95a-4a6f2fe2a1cb","is_oa":false,"landing_page_url":"https://research.birmingham.ac.uk/en/publications/b7f5b355-d83f-4d65-a95a-4a6f2fe2a1cb","pdf_url":null,"source":{"id":"https://openalex.org/S4306402634","display_name":"University of Birmingham Research Portal (University of Birmingham)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I79619799","host_organization_name":"University of Birmingham","host_organization_lineage":["https://openalex.org/I79619799"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Kremer , R , Raza , S M , Eto , F , Casement , J , Atallah , C , Finer , S , Lendrem , D , Barnes , M , Reynolds , N J & Missier , P 2023 , Tracking trajectories of multiple long-term conditions using dynamic patient-cluster associations . in S Tsumoto , Y Ohsawa , L Chen , D Van den Poel , X Hu , Y Motomura , T Takagi , L Wu , Y Xie , A Abe & V Raghavan (eds) , 2022 IEEE International Conference on Big Data . Proceedings - 2022 IEEE International Conference on Big Data, Big Data 2022 , Institute of Electrical and Electronics Engineers (IEEE) , pp. 4390-4399 , 2022 IEEE International Conference on Big Data, Big Data 2022 , Osaka , Japan , 17/12/22 . https://doi.org/10.1109/BigData55660.2022.10021034","raw_type":"contributionToPeriodical"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G8052508314","display_name":null,"funder_award_id":"MR/S027297/1","funder_id":"https://openalex.org/F4320334626","funder_display_name":"Medical Research Council"}],"funders":[{"id":"https://openalex.org/F4320334626","display_name":"Medical Research Council","ror":"https://ror.org/03x94j517"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":34,"referenced_works":["https://openalex.org/W1567025466","https://openalex.org/W1978804804","https://openalex.org/W1980094091","https://openalex.org/W1999802986","https://openalex.org/W2012265717","https://openalex.org/W2038043464","https://openalex.org/W2057541955","https://openalex.org/W2080696239","https://openalex.org/W2084659888","https://openalex.org/W2113359487","https://openalex.org/W2127960841","https://openalex.org/W2132914434","https://openalex.org/W2137169112","https://openalex.org/W2160170318","https://openalex.org/W2165599843","https://openalex.org/W2187187251","https://openalex.org/W2486951052","https://openalex.org/W2750674138","https://openalex.org/W2754840680","https://openalex.org/W2783570585","https://openalex.org/W2803346494","https://openalex.org/W2805062403","https://openalex.org/W2941499851","https://openalex.org/W2943789452","https://openalex.org/W3015066510","https://openalex.org/W3090765916","https://openalex.org/W3138415243","https://openalex.org/W3183001949","https://openalex.org/W4231510805","https://openalex.org/W4238703115","https://openalex.org/W6684489972","https://openalex.org/W6686450415","https://openalex.org/W6728600634","https://openalex.org/W6795832627"],"related_works":["https://openalex.org/W4285087457","https://openalex.org/W3113746618","https://openalex.org/W4226051228","https://openalex.org/W3017691140","https://openalex.org/W4226156868","https://openalex.org/W2024651825","https://openalex.org/W4384208482","https://openalex.org/W4244742767","https://openalex.org/W2323349009","https://openalex.org/W4248738672"],"abstract_inverted_index":{"Momentum":[0],"has":[1],"been":[2],"growing":[3],"into":[4,158,224],"research":[5,34],"to":[6,65,68,133,150,183,193,198,200,221],"better":[7],"understand":[8],"the":[9,20,70,80,91,94,110,113,185],"dynamics":[10],"of":[11,22,38,53,112,210],"multiple":[12],"long-term":[13,26],"conditions":[14,29],"\u2013":[15],"multimorbidity":[16],"(MLTC-M),":[17],"defined":[18],"as":[19],"co-occurrence":[21,62],"two":[23],"or":[24,27,73],"more":[25],"chronic":[28],"within":[30],"an":[31,120],"individual.":[32],"Several":[33],"efforts":[35],"make":[36],"use":[37,126],"Electronic":[39],"Health":[40],"Records":[41],"(EHR),":[42],"which":[43,214],"represent":[44],"patients\u2019":[45,225],"medical":[46,167,226],"histories.":[47],"These":[48],"range":[49],"from":[50,105,130],"discovering":[51],"patterns":[52],"multimorbidity,":[54],"namely":[55],"by":[56],"clustering":[57,136],"diseases":[58],"based":[59],"on":[60,90],"their":[61,166],"in":[63],"EHRs,":[64,108],"using":[66,137],"EHRs":[67,129],"predict":[69],"next":[71],"disease":[72],"other":[74],"specific":[75,194],"outcomes.":[76],"One":[77],"problem":[78],"with":[79],"former":[81],"approach":[82],"is":[83,156],"that":[84,100,216],"it":[85],"discards":[86],"important":[87],"temporal":[88],"information":[89],"co-occurrence,":[92],"while":[93],"latter":[95],"requires":[96],"\"big\"":[97],"data":[98],"volumes":[99],"are":[101],"not":[102],"always":[103],"available":[104],"routinely":[106],"collected":[107],"limiting":[109],"robustness":[111],"resulting":[114],"models.In":[115],"this":[116,204],"paper":[117],"we":[118,125,178,207],"take":[119],"intermediate":[121],"approach,":[122],"where":[123],"initially":[124],"about":[127],"143,000":[128],"UK":[131],"Biobank":[132],"perform":[134],"time-independent":[135],"topic":[138],"modelling,":[139],"and":[140,190],"Latent":[141],"Dirichlet":[142],"Allocation":[143],"specifically.":[144],"We":[145],"then":[146,180],"propose":[147],"a":[148,154],"metric":[149],"measure":[151],"how":[152,171],"strongly":[153],"patient":[155],"\"attracted\"":[157],"any":[159,163],"given":[160],"cluster":[161],"at":[162],"point":[164],"through":[165],"history.":[168],"By":[169],"tracking":[170],"such":[172],"gravitational":[173],"pull":[174],"changes":[175],"over":[176],"time,":[177],"may":[179,219],"be":[181],"able":[182],"narrow":[184],"scope":[186],"for":[187],"potential":[188],"interventions":[189],"preventative":[191],"measures":[192],"clusters,":[195],"without":[196],"having":[197],"resort":[199],"full-fledged":[201],"predictive":[202],"modelling.In":[203],"preliminary":[205],"work":[206],"show":[208],"exemplars":[209],"these":[211],"dynamic":[212],"associations,":[213],"suggest":[215],"further":[217],"exploration":[218],"lead":[220],"actionable":[222],"insights":[223],"trajectories.":[227]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2021,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}