{"id":"https://openalex.org/W765754","doi":null,"title":"Data mining applications in healthcare.","display_name":"Data mining applications in healthcare.","publication_year":2005,"publication_date":"2005-01-01","ids":{"openalex":"https://openalex.org/W765754","mag":"765754","pmid":"https://pubmed.ncbi.nlm.nih.gov/15869215"},"language":"en","primary_location":{"id":"pmid:15869215","doi":null,"is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/15869215","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,"listed_in":[],"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":"Journal of healthcare information management : JHIM","raw_type":"Journal Article"},"parent_works":[],"lineage":["https://openalex.org/W765754"],"child_works_count":0,"type":"article","is_traditional":true,"indexed_in":["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":"Hian Chye Koh","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I172675005","display_name":"Nanyang Technological University","ror":"https://ror.org/02e7b5302","country_code":"SG","type":"education","lineage":["https://openalex.org/I172675005"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Hian Chye Koh","raw_affiliation_strings":["Nanyang Business School, Nanyang Technological University, Singapore"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Nanyang Business School, Nanyang Technological University, Singapore","institution_ids":["https://openalex.org/I172675005"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5068512675","display_name":"Gerald Jack Soon Tan","orcid":"https://orcid.org/0000-0002-8492-6649","observed_orcids":["https://orcid.org/0000-0002-8492-6649"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Gerald Tan","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.5313,"has_fulltext":false,"cited_by_count":256,"citation_normalized_percentile":{"value":0.75392896,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":100},"biblio":{"volume":"19","issue":"2","first_page":"64","last_page":"72"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11396","display_name":"Artificial Intelligence in Healthcare","score":0.9965999722480774,"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"}},"topics":[{"id":"https://openalex.org/T11396","display_name":"Artificial Intelligence in Healthcare","score":0.9965999722480774,"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/T13373","display_name":"Data Mining and Machine Learning Applications","score":0.0015999999595806003,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"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/T13038","display_name":"Internet of Things and AI","score":0.00019999999494757503,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"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/medical-data-mining","display_name":"medical data mining","score":0.8830000162124634},{"id":"https://openalex.org/keywords/healthcare-fraud-detection","display_name":"healthcare fraud detection","score":0.7440000176429749},{"id":"https://openalex.org/keywords/treatment-efficacy-evaluation","display_name":"treatment efficacy assessment","score":0.718999981880188},{"id":"https://openalex.org/keywords/healthcare-management","display_name":"health management","score":0.949999988079071},{"id":"https://openalex.org/keywords/customer-relationship-management","display_name":"customer relationship management","score":0.9700000286102295},{"id":"https://openalex.org/keywords/diabetes-risk-factors","display_name":"diabetes risk factors","score":0.8989999890327454},{"id":"https://openalex.org/keywords/healthcare-decision-making","display_name":"healthcare decision-making","score":0.7139999866485596},{"id":"https://openalex.org/keywords/medical-data-analysis","display_name":"medical data analysis","score":0.4690000116825104}],"concepts":[{"id":"https://openalex.org/C160735492","wikidata":"https://www.wikidata.org/wiki/Q31207","display_name":"Health care","level":2,"score":0.7963694930076599},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.6410002112388611},{"id":"https://openalex.org/C2989086416","wikidata":"https://www.wikidata.org/wiki/Q15067276","display_name":"Healthcare industry","level":3,"score":0.5407519340515137},{"id":"https://openalex.org/C144133560","wikidata":"https://www.wikidata.org/wiki/Q4830453","display_name":"Business","level":0,"score":0.46281635761260986},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.43104103207588196},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4289737939834595},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4084670841693878},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C59822182","wikidata":"https://www.wikidata.org/wiki/Q441","display_name":"Botany","level":1,"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/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0}],"mesh":[{"descriptor_ui":"D003258","descriptor_name":"Consumer Behavior","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D005607","descriptor_name":"Fraud","qualifier_ui":"Q000517","qualifier_name":"prevention & control","is_major_topic":false},{"descriptor_ui":"D008490","descriptor_name":"Medical Informatics","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D014481","descriptor_name":"United States","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016247","descriptor_name":"Information Storage and Retrieval","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D016896","descriptor_name":"Treatment Outcome","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D017598","descriptor_name":"Efficiency, Organizational","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false}],"locations_count":2,"locations":[{"id":"pmid:15869215","doi":null,"is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/15869215","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,"listed_in":[],"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":"Journal of healthcare information management : JHIM","raw_type":"Journal Article"},{"id":"pmh:oai:dr.ntu.edu.sg:10356/7039","doi":null,"is_oa":false,"landing_page_url":"http://hdl.handle.net/10356/7039","pdf_url":null,"source":{"id":"https://openalex.org/S4306402609","display_name":"DR-NTU (Nanyang Technological University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I172675005","host_organization_name":"Nanyang Technological University","host_organization_lineage":["https://openalex.org/I172675005"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Research Report"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.9391000270843506,"id":"https://metadata.un.org/sdg/3","display_name":"Good health and well-being"}],"study_designs":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W2207394336","https://openalex.org/W2592124422","https://openalex.org/W3009897187","https://openalex.org/W3173056030","https://openalex.org/W4389690271","https://openalex.org/W4402138218","https://openalex.org/W1997146817","https://openalex.org/W2186187944","https://openalex.org/W2784689631","https://openalex.org/W4200319178"],"abstract_inverted_index":{"Data":[0,23,93],"mining":[1,14,24,39,94,116,125,164,186],"has":[2],"been":[3],"used":[4],"intensively":[5],"and":[6,46,59,62,66,83,88,98,126,147,152,187],"extensively":[7],"by":[8,77,90],"many":[9],"organizations.":[10],"In":[11,120],"healthcare,":[12,143],"data":[13,38,75,105,115,124,163,185],"is":[15],"becoming":[16],"increasingly":[17,21],"popular,":[18],"if":[19],"not":[20],"essential.":[22],"applications":[25,117,128],"can":[26,40],"greatly":[27],"benefit":[28],"all":[29],"parties":[30],"involved":[31],"in":[32,118,131],"the":[33,96,136,148,167,174,179,182],"healthcare":[34,42,48,69,78,130,162],"industry.":[35],"For":[36],"example,":[37],"help":[41],"insurers":[43],"detect":[44],"fraud":[45,151],"abuse,":[47],"organizations":[49],"make":[50],"customer":[51,144],"relationship":[52,145],"management":[53,141],"decisions,":[54],"physicians":[55],"identify":[56],"effective":[57],"treatments":[58],"best":[60],"practices,":[61],"patients":[63],"receive":[64],"better":[65],"more":[67],"affordable":[68],"services.":[70],"The":[71],"huge":[72],"amounts":[73],"of":[74,104,138,142,150,160,169,176,184],"generated":[76],"transactions":[79],"are":[80],"too":[81],"complex":[82],"voluminous":[84],"to":[85,100],"be":[86],"processed":[87],"analyzed":[89],"traditional":[91],"methods.":[92],"provides":[95],"methodology":[97],"technology":[99],"transform":[101],"these":[102],"mounds":[103],"into":[106],"useful":[107],"information":[108],"for":[109],"decision":[110],"making.":[111],"This":[112],"article":[113,180],"explores":[114],"healthcare.":[119],"particular,":[121],"it":[122],"discusses":[123,188],"its":[127],"within":[129],"major":[132],"areas":[133],"such":[134],"as":[135],"evaluation":[137],"treatment":[139],"effectiveness,":[140],"management,":[146],"detection":[149],"abuse.":[153],"It":[154],"also":[155],"gives":[156],"an":[157],"illustrative":[158],"example":[159],"a":[161],"application":[165],"involving":[166],"identification":[168],"risk":[170],"factors":[171],"associated":[172],"with":[173],"onset":[175],"diabetes.":[177],"Finally,":[178],"highlights":[181],"limitations":[183],"some":[189],"future":[190],"directions.":[191]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":7},{"year":2023,"cited_by_count":8},{"year":2022,"cited_by_count":15},{"year":2021,"cited_by_count":18},{"year":2020,"cited_by_count":24},{"year":2019,"cited_by_count":23},{"year":2018,"cited_by_count":25},{"year":2017,"cited_by_count":16},{"year":2016,"cited_by_count":26},{"year":2015,"cited_by_count":21},{"year":2014,"cited_by_count":26},{"year":2013,"cited_by_count":21},{"year":2012,"cited_by_count":13}],"updated_date":"2026-11-10T11:39:43.021295","created_date":"2025-10-10T00:00:00"}