{"id":"https://openalex.org/W2059454509","doi":"https://doi.org/10.1145/2783258.2783324","title":"LINKAGE","display_name":"LINKAGE","publication_year":2015,"publication_date":"2015-08-07","ids":{"openalex":"https://openalex.org/W2059454509","doi":"https://doi.org/10.1145/2783258.2783324","mag":"2059454509"},"language":"en","primary_location":{"id":"doi:10.1145/2783258.2783324","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2783258.2783324","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 21th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining","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/A5000182790","display_name":"Zhaonan Sun","orcid":"https://orcid.org/0000-0003-4471-3478"},"institutions":[{"id":"https://openalex.org/I1341412227","display_name":"IBM (United States)","ror":"https://ror.org/05hh8d621","country_code":"US","type":"company","lineage":["https://openalex.org/I1341412227"]},{"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":"Zhaonan Sun","raw_affiliation_strings":["IBM T. J. Watson Research Center, Yorktown Heights, NY, USA","IBM T. J. Watson Research Center, Yorktown Heights , NY, USA#TAB#"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"IBM T. J. Watson Research Center, Yorktown Heights, NY, USA","institution_ids":["https://openalex.org/I4210114115"]},{"raw_affiliation_string":"IBM T. J. Watson Research Center, Yorktown Heights , NY, USA#TAB#","institution_ids":["https://openalex.org/I1341412227"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100455832","display_name":"Fei Wang","orcid":"https://orcid.org/0000-0002-4146-5379"},"institutions":[{"id":"https://openalex.org/I140172145","display_name":"University of Connecticut","ror":"https://ror.org/02der9h97","country_code":"US","type":"education","lineage":["https://openalex.org/I140172145"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Fei Wang","raw_affiliation_strings":["University of Connecticut, Storrs, CT, USA","University of Connecticut, Storrs, CT USA#TAB#"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Connecticut, Storrs, CT, USA","institution_ids":["https://openalex.org/I140172145"]},{"raw_affiliation_string":"University of Connecticut, Storrs, CT USA#TAB#","institution_ids":["https://openalex.org/I140172145"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5040300380","display_name":"Jianying Hu","orcid":"https://orcid.org/0000-0001-7753-886X"},"institutions":[{"id":"https://openalex.org/I1341412227","display_name":"IBM (United States)","ror":"https://ror.org/05hh8d621","country_code":"US","type":"company","lineage":["https://openalex.org/I1341412227"]},{"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":"Jianying Hu","raw_affiliation_strings":["IBM T. J. Watson Research Center, Yorktown Heights, NY, USA","IBM T. J. Watson Research Center, Yorktown Heights , NY, USA#TAB#"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"IBM T. J. Watson Research Center, Yorktown Heights, NY, USA","institution_ids":["https://openalex.org/I4210114115"]},{"raw_affiliation_string":"IBM T. J. Watson Research Center, Yorktown Heights , NY, USA#TAB#","institution_ids":["https://openalex.org/I1341412227"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.3025,"has_fulltext":false,"cited_by_count":11,"citation_normalized_percentile":{"value":0.80832534,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"1145","last_page":"1154"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12246","display_name":"Chronic Disease Management Strategies","score":0.9918000102043152,"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":0.9918000102043152,"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/T10804","display_name":"Health Systems, Economic Evaluations, Quality of Life","score":0.9843999743461609,"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"}},{"id":"https://openalex.org/T13702","display_name":"Machine Learning in Healthcare","score":0.9817000031471252,"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/computer-science","display_name":"Computer science","score":0.7252278923988342},{"id":"https://openalex.org/keywords/leverage","display_name":"Leverage (statistics)","score":0.6873126029968262},{"id":"https://openalex.org/keywords/flexibility","display_name":"Flexibility (engineering)","score":0.6119360327720642},{"id":"https://openalex.org/keywords/health-care","display_name":"Health care","score":0.5209335684776306},{"id":"https://openalex.org/keywords/risk-analysis","display_name":"Risk analysis (engineering)","score":0.5022077560424805},{"id":"https://openalex.org/keywords/linkage","display_name":"Linkage (software)","score":0.501514196395874},{"id":"https://openalex.org/keywords/risk-management","display_name":"Risk management","score":0.4575684368610382},{"id":"https://openalex.org/keywords/data-quality","display_name":"Data quality","score":0.4394475817680359},{"id":"https://openalex.org/keywords/data-modeling","display_name":"Data modeling","score":0.437807559967041},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.41788449883461},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.34248971939086914},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.337081640958786},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.10094240307807922},{"id":"https://openalex.org/keywords/database","display_name":"Database","score":0.08958703279495239}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7252278923988342},{"id":"https://openalex.org/C153083717","wikidata":"https://www.wikidata.org/wiki/Q6535263","display_name":"Leverage (statistics)","level":2,"score":0.6873126029968262},{"id":"https://openalex.org/C2780598303","wikidata":"https://www.wikidata.org/wiki/Q65921492","display_name":"Flexibility (engineering)","level":2,"score":0.6119360327720642},{"id":"https://openalex.org/C160735492","wikidata":"https://www.wikidata.org/wiki/Q31207","display_name":"Health care","level":2,"score":0.5209335684776306},{"id":"https://openalex.org/C112930515","wikidata":"https://www.wikidata.org/wiki/Q4389547","display_name":"Risk analysis (engineering)","level":1,"score":0.5022077560424805},{"id":"https://openalex.org/C31266012","wikidata":"https://www.wikidata.org/wiki/Q6554340","display_name":"Linkage (software)","level":3,"score":0.501514196395874},{"id":"https://openalex.org/C32896092","wikidata":"https://www.wikidata.org/wiki/Q189447","display_name":"Risk management","level":2,"score":0.4575684368610382},{"id":"https://openalex.org/C24756922","wikidata":"https://www.wikidata.org/wiki/Q1757694","display_name":"Data quality","level":3,"score":0.4394475817680359},{"id":"https://openalex.org/C67186912","wikidata":"https://www.wikidata.org/wiki/Q367664","display_name":"Data modeling","level":2,"score":0.437807559967041},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.41788449883461},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.34248971939086914},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.337081640958786},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.10094240307807922},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.08958703279495239},{"id":"https://openalex.org/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","level":1,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C176217482","wikidata":"https://www.wikidata.org/wiki/Q860554","display_name":"Metric (unit)","level":2,"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/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"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/C21547014","wikidata":"https://www.wikidata.org/wiki/Q1423657","display_name":"Operations management","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/2783258.2783324","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2783258.2783324","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 21th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":37,"referenced_works":["https://openalex.org/W1497745584","https://openalex.org/W1871180460","https://openalex.org/W1939941161","https://openalex.org/W1986744686","https://openalex.org/W1989060270","https://openalex.org/W1989946722","https://openalex.org/W1995436190","https://openalex.org/W2018096278","https://openalex.org/W2032612424","https://openalex.org/W2051141471","https://openalex.org/W2057535756","https://openalex.org/W2072670053","https://openalex.org/W2097451239","https://openalex.org/W2098056745","https://openalex.org/W2100556411","https://openalex.org/W2112771848","https://openalex.org/W2118099552","https://openalex.org/W2130903752","https://openalex.org/W2132555912","https://openalex.org/W2143104527","https://openalex.org/W2155628440","https://openalex.org/W2164278908","https://openalex.org/W2167732364","https://openalex.org/W2597851033","https://openalex.org/W2606098075","https://openalex.org/W2609945000","https://openalex.org/W2616052791","https://openalex.org/W2745560456","https://openalex.org/W2949664970","https://openalex.org/W2964121793","https://openalex.org/W2971268466","https://openalex.org/W3099609308","https://openalex.org/W3101035442","https://openalex.org/W3101767848","https://openalex.org/W3101782091","https://openalex.org/W4292363360","https://openalex.org/W6793073298"],"related_works":["https://openalex.org/W4282976635","https://openalex.org/W2362702199","https://openalex.org/W2350014578","https://openalex.org/W1967666613","https://openalex.org/W3081133439","https://openalex.org/W4386246791","https://openalex.org/W2945537679","https://openalex.org/W3211701140","https://openalex.org/W2952280724","https://openalex.org/W2133103607"],"abstract_inverted_index":{"Comprehensive":[0],"risk":[1,43,101,121,124,144],"assessment":[2],"lies":[3],"in":[4,60,142],"the":[5,76,84,92,118,129,148,151],"core":[6],"of":[7,57,62,83,150],"enabling":[8],"proactive":[9],"healthcare":[10,30,160],"delivery":[11],"systems.":[12],"In":[13,35],"recent":[14],"years,":[15],"data-driven":[16,41,108],"predictive":[17],"modeling":[18],"approaches":[19],"have":[20],"been":[21],"increasingly":[22],"recognized":[23],"as":[24],"promising":[25],"techniques":[26],"to":[27,52,110,127,138],"help":[28],"enhance":[29],"quality":[31],"and":[32,96,98,123,157],"reduce":[33],"cost.":[34],"this":[36],"paper,":[37],"we":[38],"propose":[39],"a":[40,55,107,158],"comprehensive":[42],"prediction":[44,72,102,122],"method,":[45],"named":[46],"LINKAGE,":[47],"which":[48],"can":[49,68,90],"be":[50],"used":[51],"jointly":[53],"assess":[54],"set":[56],"associated":[58],"risks":[59,95],"support":[61],"holistic":[63],"care":[64],"management.":[65],"Our":[66],"method":[67],"not":[69],"only":[70],"perform":[71],"but":[73],"also":[74],"discover":[75],"relationships":[77],"among":[78],"those":[79],"risks.":[80],"The":[81],"advantages":[82],"proposed":[85,152],"model":[86,153],"include:":[87],"1)":[88],"It":[89,105,116,135],"leverage":[91],"relationship":[93,112],"between":[94,113,120],"domains":[97],"achieve":[99],"better":[100],"performance;":[103],"2)":[104],"provides":[106,136],"approach":[109],"understand":[111],"risks;":[114],"3)":[115],"leverages":[117],"information":[119],"association":[125],"learning":[126,143],"regulate":[128],"improvement":[130],"on":[131,154],"both":[132],"parts;":[133],"4)":[134],"flexibility":[137],"incorporate":[139],"domain":[140],"knowledge":[141],"associations.":[145],"We":[146],"validate":[147],"effectiveness":[149],"synthetic":[155],"data":[156,162],"real-world":[159],"survey":[161],"set.":[163]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":2},{"year":2018,"cited_by_count":2},{"year":2017,"cited_by_count":2},{"year":2016,"cited_by_count":2}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2016-06-24T00:00:00"}
