{"id":"https://openalex.org/W2785944265","doi":"https://doi.org/10.3233/978-1-61499-830-3-491","title":"Precision Cohort Finding with Outcome-Driven Similarity Analytics: A Case Study of Patients with Atrial Fibrillation","display_name":"Precision Cohort Finding with Outcome-Driven Similarity Analytics: A Case Study of Patients with Atrial Fibrillation","publication_year":2017,"publication_date":"2017-01-01","ids":{"openalex":"https://openalex.org/W2785944265","doi":"https://doi.org/10.3233/978-1-61499-830-3-491","mag":"2785944265","pmid":"https://pubmed.ncbi.nlm.nih.gov/29295143"},"language":"en","primary_location":{"id":"doi:10.3233/978-1-61499-830-3-491","is_oa":false,"landing_page_url":"https://doi.org/10.3233/978-1-61499-830-3-491","pdf_url":null,"source":{"id":"https://openalex.org/S4210179765","display_name":"Studies in health technology and informatics","issn_l":"0926-9630","issn":["0926-9630","1879-8365"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310318577","host_organization_name":"IOS Press","host_organization_lineage":["https://openalex.org/P4310318577"],"host_organization_lineage_names":["IOS Press"],"type":"book series"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Studies in Health Technology and Informatics","raw_type":"book-chapter"},"type":"book-chapter","indexed_in":["crossref","pubmed"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":null,"display_name":"Liu Haifeng","orcid":null},"institutions":[{"id":"https://openalex.org/I4210126794","display_name":"IBM Research (China)","ror":"https://ror.org/02yg1pf55","country_code":"CN","type":"company","lineage":["https://openalex.org/I1341412227","https://openalex.org/I4210114115","https://openalex.org/I4210126794"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Liu Haifeng","raw_affiliation_strings":["IBM Research China, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"IBM Research China, Beijing, China","institution_ids":["https://openalex.org/I4210126794"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100330993","display_name":"Xiang Li","orcid":"https://orcid.org/0000-0001-5471-1236"},"institutions":[{"id":"https://openalex.org/I4210126794","display_name":"IBM Research (China)","ror":"https://ror.org/02yg1pf55","country_code":"CN","type":"company","lineage":["https://openalex.org/I1341412227","https://openalex.org/I4210114115","https://openalex.org/I4210126794"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Li Xiang","raw_affiliation_strings":["IBM Research China, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"IBM Research China, Beijing, China","institution_ids":["https://openalex.org/I4210126794"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Xie Guotong","orcid":null},"institutions":[{"id":"https://openalex.org/I4210126794","display_name":"IBM Research (China)","ror":"https://ror.org/02yg1pf55","country_code":"CN","type":"company","lineage":["https://openalex.org/I1341412227","https://openalex.org/I4210114115","https://openalex.org/I4210126794"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xie Guotong","raw_affiliation_strings":["IBM Research China, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"IBM Research China, Beijing, China","institution_ids":["https://openalex.org/I4210126794"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5012851930","display_name":"Xin Du","orcid":"https://orcid.org/0000-0002-9536-6595"},"institutions":[{"id":"https://openalex.org/I4210119028","display_name":"Beijing Anzhen Hospital","ror":"https://ror.org/02h2j1586","country_code":"CN","type":"healthcare","lineage":["https://openalex.org/I4210119028"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Du Xin","raw_affiliation_strings":["Anzhen Hospital, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Anzhen Hospital, Beijing, China","institution_ids":["https://openalex.org/I4210119028"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5050360222","display_name":"Ping Zhang","orcid":"https://orcid.org/0000-0002-4601-0779"},"institutions":[{"id":"https://openalex.org/I4210114115","display_name":"IBM Research - Thomas J. Watson Research Center","ror":"https://ror.org/0265w5591","country_code":"US","type":"facility","lineage":["https://openalex.org/I1341412227","https://openalex.org/I4210114115"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Zhang Ping","raw_affiliation_strings":["IBM T.J. Watson Research Center, Yorktown Heights, NY, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"IBM T.J. Watson Research Center, Yorktown Heights, NY, USA","institution_ids":["https://openalex.org/I4210114115"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5115605174","display_name":"Chengming Gu","orcid":null},"institutions":[{"id":"https://openalex.org/I4210148567","display_name":"Pfizer (China)","ror":"https://ror.org/04ktfyy52","country_code":"CN","type":"company","lineage":["https://openalex.org/I180857899","https://openalex.org/I4210148567"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Gu Chengming","raw_affiliation_strings":["Pfizer China, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Pfizer China, Beijing, China","institution_ids":["https://openalex.org/I4210148567"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101400813","display_name":"Jingyi Hu","orcid":"https://orcid.org/0000-0002-4007-3736"},"institutions":[{"id":"https://openalex.org/I4210148567","display_name":"Pfizer (China)","ror":"https://ror.org/04ktfyy52","country_code":"CN","type":"company","lineage":["https://openalex.org/I180857899","https://openalex.org/I4210148567"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hu Jingyi","raw_affiliation_strings":["Pfizer China, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Pfizer China, Beijing, China","institution_ids":["https://openalex.org/I4210148567"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":3.8371,"has_fulltext":false,"cited_by_count":12,"citation_normalized_percentile":{"value":0.95859838,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":"245","issue":null,"first_page":"491","last_page":"495"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T13702","display_name":"Machine Learning in Healthcare","score":0.9959999918937683,"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":0.9959999918937683,"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":0.9932000041007996,"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/T14400","display_name":"Medical Coding and Health Information","score":0.9480000138282776,"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/atrial-fibrillation","display_name":"Atrial fibrillation","score":0.7289458513259888},{"id":"https://openalex.org/keywords/cohort","display_name":"Cohort","score":0.6991544961929321},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.620378851890564},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.6020584106445312},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.5696024894714355},{"id":"https://openalex.org/keywords/personalized-medicine","display_name":"Personalized medicine","score":0.556063175201416},{"id":"https://openalex.org/keywords/outcome","display_name":"Outcome (game theory)","score":0.5558449625968933},{"id":"https://openalex.org/keywords/precision-medicine","display_name":"Precision medicine","score":0.5255395770072937},{"id":"https://openalex.org/keywords/cohort-study","display_name":"Cohort study","score":0.4390898048877716},{"id":"https://openalex.org/keywords/risk-stratification","display_name":"Risk stratification","score":0.42418044805526733},{"id":"https://openalex.org/keywords/internal-medicine","display_name":"Internal medicine","score":0.39454057812690735},{"id":"https://openalex.org/keywords/intensive-care-medicine","display_name":"Intensive care medicine","score":0.3922590911388397},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.34800004959106445},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.2830413579940796},{"id":"https://openalex.org/keywords/bioinformatics","display_name":"Bioinformatics","score":0.18989551067352295},{"id":"https://openalex.org/keywords/pathology","display_name":"Pathology","score":0.1151159405708313}],"concepts":[{"id":"https://openalex.org/C2779161974","wikidata":"https://www.wikidata.org/wiki/Q815819","display_name":"Atrial fibrillation","level":2,"score":0.7289458513259888},{"id":"https://openalex.org/C72563966","wikidata":"https://www.wikidata.org/wiki/Q1303415","display_name":"Cohort","level":2,"score":0.6991544961929321},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.620378851890564},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.6020584106445312},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.5696024894714355},{"id":"https://openalex.org/C32220436","wikidata":"https://www.wikidata.org/wiki/Q2072214","display_name":"Personalized medicine","level":2,"score":0.556063175201416},{"id":"https://openalex.org/C148220186","wikidata":"https://www.wikidata.org/wiki/Q7111912","display_name":"Outcome (game theory)","level":2,"score":0.5558449625968933},{"id":"https://openalex.org/C163763905","wikidata":"https://www.wikidata.org/wiki/Q17075943","display_name":"Precision medicine","level":2,"score":0.5255395770072937},{"id":"https://openalex.org/C201903717","wikidata":"https://www.wikidata.org/wiki/Q1778788","display_name":"Cohort study","level":2,"score":0.4390898048877716},{"id":"https://openalex.org/C3020404979","wikidata":"https://www.wikidata.org/wiki/Q1058438","display_name":"Risk stratification","level":2,"score":0.42418044805526733},{"id":"https://openalex.org/C126322002","wikidata":"https://www.wikidata.org/wiki/Q11180","display_name":"Internal medicine","level":1,"score":0.39454057812690735},{"id":"https://openalex.org/C177713679","wikidata":"https://www.wikidata.org/wiki/Q679690","display_name":"Intensive care medicine","level":1,"score":0.3922590911388397},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.34800004959106445},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2830413579940796},{"id":"https://openalex.org/C60644358","wikidata":"https://www.wikidata.org/wiki/Q128570","display_name":"Bioinformatics","level":1,"score":0.18989551067352295},{"id":"https://openalex.org/C142724271","wikidata":"https://www.wikidata.org/wiki/Q7208","display_name":"Pathology","level":1,"score":0.1151159405708313},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"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/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.0},{"id":"https://openalex.org/C144237770","wikidata":"https://www.wikidata.org/wiki/Q747534","display_name":"Mathematical economics","level":1,"score":0.0},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0}],"mesh":[{"descriptor_ui":"D000925","descriptor_name":"Anticoagulants","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000925","descriptor_name":"Anticoagulants","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000925","descriptor_name":"Anticoagulants","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D001281","descriptor_name":"Atrial Fibrillation","qualifier_ui":"Q000150","qualifier_name":"complications","is_major_topic":false},{"descriptor_ui":"D001281","descriptor_name":"Atrial Fibrillation","qualifier_ui":"Q000150","qualifier_name":"complications","is_major_topic":false},{"descriptor_ui":"D001281","descriptor_name":"Atrial Fibrillation","qualifier_ui":"Q000150","qualifier_name":"complications","is_major_topic":false},{"descriptor_ui":"D002545","descriptor_name":"Brain Ischemia","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D002545","descriptor_name":"Brain Ischemia","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D002545","descriptor_name":"Brain Ischemia","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D012307","descriptor_name":"Risk Factors","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D012307","descriptor_name":"Risk Factors","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D012307","descriptor_name":"Risk Factors","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D015331","descriptor_name":"Cohort Studies","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D015331","descriptor_name":"Cohort Studies","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D015331","descriptor_name":"Cohort Studies","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016000","descriptor_name":"Cluster Analysis","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016000","descriptor_name":"Cluster Analysis","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016000","descriptor_name":"Cluster Analysis","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D020521","descriptor_name":"Stroke","qualifier_ui":"Q000209","qualifier_name":"etiology","is_major_topic":false},{"descriptor_ui":"D020521","descriptor_name":"Stroke","qualifier_ui":"Q000209","qualifier_name":"etiology","is_major_topic":false},{"descriptor_ui":"D020521","descriptor_name":"Stroke","qualifier_ui":"Q000209","qualifier_name":"etiology","is_major_topic":false}],"locations_count":2,"locations":[{"id":"doi:10.3233/978-1-61499-830-3-491","is_oa":false,"landing_page_url":"https://doi.org/10.3233/978-1-61499-830-3-491","pdf_url":null,"source":{"id":"https://openalex.org/S4210179765","display_name":"Studies in health technology and informatics","issn_l":"0926-9630","issn":["0926-9630","1879-8365"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310318577","host_organization_name":"IOS Press","host_organization_lineage":["https://openalex.org/P4310318577"],"host_organization_lineage_names":["IOS Press"],"type":"book series"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Studies in Health Technology and Informatics","raw_type":"book-chapter"},{"id":"pmid:29295143","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/29295143","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":"Studies in health technology and informatics","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/3","display_name":"Good health and well-being","score":0.44999998807907104}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":8,"referenced_works":["https://openalex.org/W1965701254","https://openalex.org/W1987971958","https://openalex.org/W2013009184","https://openalex.org/W2091632079","https://openalex.org/W2137737196","https://openalex.org/W2141395532","https://openalex.org/W2162586165","https://openalex.org/W4285719527"],"related_works":["https://openalex.org/W3082935376","https://openalex.org/W4399651953","https://openalex.org/W4386960999","https://openalex.org/W2899657781","https://openalex.org/W4322484660","https://openalex.org/W3193951088","https://openalex.org/W4388011470","https://openalex.org/W4230423494","https://openalex.org/W4403376686","https://openalex.org/W4298001029"],"abstract_inverted_index":{"Dividing":[0],"patients":[1,78,94,105,164],"into":[2,116],"similar":[3,77,109],"groups":[4],"plays":[5],"a":[6,84,98,108,128,160],"significant":[7],"role":[8],"in":[9,22,95,127],"implementing":[10],"personalized":[11,28],"care.":[12],"Clinicians":[13],"and":[14,27],"researchers":[15],"have":[16,107],"been":[17],"applying":[18],"patient":[19,44,64,136],"grouping":[20],"techniques":[21,55],"disease":[23],"phenotyping,":[24],"risk":[25,146,168],"stratification,":[26],"medicine.":[29],"However,":[30],"the":[31,42,59,67,91,117,122,125],"current":[32,153],"approaches":[33],"are":[34,80],"either":[35],"based":[36,51],"on":[37,52],"pure":[38],"domain":[39],"knowledge":[40],"where":[41],"underlying":[43],"similarity":[45,92],"cannot":[46],"be":[47,114,143],"precisely":[48],"quantified,":[49],"or":[50],"unsupervised":[53],"clustering":[54],"which":[56,79],"completely":[57],"ignore":[58],"clinical":[60,100,110,154],"context":[61],"of":[62,97,102,124,163,169],"measuring":[63],"similarity.":[65],"In":[66],"study,":[68],"we":[69],"propose":[70],"an":[71,133],"outcome-driven":[72],"approach":[73,88,126,157],"to":[74,113,142,152],"identify":[75],"clinically":[76],"grouped":[81,115],"together":[82],"as":[83],"precision":[85,161],"cohort.":[86],"The":[87],"quantitatively":[89],"measures":[90],"between":[93],"terms":[96],"particular":[99],"outcome":[101,111],"interest,":[103],"thus":[104],"who":[106],"tend":[112],"same":[118],"group.":[119],"We":[120],"demonstrate":[121],"effectiveness":[123],"real-world":[129],"case":[130],"study:":[131],"from":[132],"atrial":[134],"fibrillation":[135],"cohort":[137,162],"that":[138],"is":[139],"usually":[140],"considered":[141],"at":[144],"high":[145],"for":[147],"ischemic":[148],"stroke":[149],"(IS),":[150],"according":[151],"guidelines.":[155],"Our":[156],"successfully":[158],"identified":[159],"with":[165],"truly":[166],"low":[167],"IS.":[170]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":3},{"year":2019,"cited_by_count":4}],"updated_date":"2026-07-15T18:14:33.161393","created_date":"2025-10-10T00:00:00"}
