{"id":"https://openalex.org/W2783018657","doi":"https://doi.org/10.1109/iske.2017.8258766","title":"Machine learning based prediction of depression among type 2 diabetic patients","display_name":"Machine learning based prediction of depression among type 2 diabetic patients","publication_year":2017,"publication_date":"2017-11-01","ids":{"openalex":"https://openalex.org/W2783018657","doi":"https://doi.org/10.1109/iske.2017.8258766","mag":"2783018657"},"language":"en","primary_location":{"id":"doi:10.1109/iske.2017.8258766","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iske.2017.8258766","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 12th International Conference on Intelligent Systems and Knowledge Engineering (ISKE)","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/A5032839954","display_name":"Raid M. Khalil","orcid":null},"institutions":[{"id":"https://openalex.org/I114017466","display_name":"University of Technology Sydney","ror":"https://ror.org/03f0f6041","country_code":"AU","type":"education","lineage":["https://openalex.org/I114017466"]}],"countries":["AU"],"is_corresponding":true,"raw_author_name":"Raid M. Khalil","raw_affiliation_strings":["Faculty of Engineering and Information Technology, University of Technology Sydney, UTS, Sydney, Australia"],"affiliations":[{"raw_affiliation_string":"Faculty of Engineering and Information Technology, University of Technology Sydney, UTS, Sydney, Australia","institution_ids":["https://openalex.org/I114017466"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5062452600","display_name":"Adel Al-Jumaily","orcid":"https://orcid.org/0000-0003-0297-2463"},"institutions":[{"id":"https://openalex.org/I114017466","display_name":"University of Technology Sydney","ror":"https://ror.org/03f0f6041","country_code":"AU","type":"education","lineage":["https://openalex.org/I114017466"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Adel Al-Jumaily","raw_affiliation_strings":["Faculty of Engineering and Information Technology, University of Technology Sydney, UTS, Sydney, Australia"],"affiliations":[{"raw_affiliation_string":"Faculty of Engineering and Information Technology, University of Technology Sydney, UTS, Sydney, Australia","institution_ids":["https://openalex.org/I114017466"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5032839954"],"corresponding_institution_ids":["https://openalex.org/I114017466"],"apc_list":null,"apc_paid":null,"fwci":5.9385,"has_fulltext":false,"cited_by_count":43,"citation_normalized_percentile":{"value":0.95938959,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":91,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"5"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11396","display_name":"Artificial Intelligence in Healthcare","score":0.9980000257492065,"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":0.9980000257492065,"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/T13702","display_name":"Machine Learning in Healthcare","score":0.9857000112533569,"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/T10793","display_name":"Diabetes Management and Education","score":0.9520000219345093,"subfield":{"id":"https://openalex.org/subfields/2712","display_name":"Endocrinology, Diabetes and Metabolism"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.7372820973396301},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6853216886520386},{"id":"https://openalex.org/keywords/feeling","display_name":"Feeling","score":0.6509422063827515},{"id":"https://openalex.org/keywords/depression","display_name":"Depression (economics)","score":0.6450550556182861},{"id":"https://openalex.org/keywords/mood","display_name":"Mood","score":0.6395890116691589},{"id":"https://openalex.org/keywords/sadness","display_name":"Sadness","score":0.6232738494873047},{"id":"https://openalex.org/keywords/class","display_name":"Class (philosophy)","score":0.6015137434005737},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5655773878097534},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.49654513597488403},{"id":"https://openalex.org/keywords/construct","display_name":"Construct (python library)","score":0.4834912419319153},{"id":"https://openalex.org/keywords/mental-health","display_name":"Mental health","score":0.4500574767589569},{"id":"https://openalex.org/keywords/supervised-learning","display_name":"Supervised learning","score":0.4488367438316345},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.38461777567863464},{"id":"https://openalex.org/keywords/clinical-psychology","display_name":"Clinical psychology","score":0.2823235094547272},{"id":"https://openalex.org/keywords/social-psychology","display_name":"Social psychology","score":0.21539393067359924},{"id":"https://openalex.org/keywords/psychiatry","display_name":"Psychiatry","score":0.1869579255580902},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.12932559847831726},{"id":"https://openalex.org/keywords/anger","display_name":"Anger","score":0.10607370734214783}],"concepts":[{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.7372820973396301},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6853216886520386},{"id":"https://openalex.org/C122980154","wikidata":"https://www.wikidata.org/wiki/Q205555","display_name":"Feeling","level":2,"score":0.6509422063827515},{"id":"https://openalex.org/C2776867660","wikidata":"https://www.wikidata.org/wiki/Q1814941","display_name":"Depression (economics)","level":2,"score":0.6450550556182861},{"id":"https://openalex.org/C2780733359","wikidata":"https://www.wikidata.org/wiki/Q331769","display_name":"Mood","level":2,"score":0.6395890116691589},{"id":"https://openalex.org/C2779812673","wikidata":"https://www.wikidata.org/wiki/Q169251","display_name":"Sadness","level":3,"score":0.6232738494873047},{"id":"https://openalex.org/C2777212361","wikidata":"https://www.wikidata.org/wiki/Q5127848","display_name":"Class (philosophy)","level":2,"score":0.6015137434005737},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5655773878097534},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.49654513597488403},{"id":"https://openalex.org/C2780801425","wikidata":"https://www.wikidata.org/wiki/Q5164392","display_name":"Construct (python library)","level":2,"score":0.4834912419319153},{"id":"https://openalex.org/C134362201","wikidata":"https://www.wikidata.org/wiki/Q317309","display_name":"Mental health","level":2,"score":0.4500574767589569},{"id":"https://openalex.org/C136389625","wikidata":"https://www.wikidata.org/wiki/Q334384","display_name":"Supervised learning","level":3,"score":0.4488367438316345},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.38461777567863464},{"id":"https://openalex.org/C70410870","wikidata":"https://www.wikidata.org/wiki/Q199906","display_name":"Clinical psychology","level":1,"score":0.2823235094547272},{"id":"https://openalex.org/C77805123","wikidata":"https://www.wikidata.org/wiki/Q161272","display_name":"Social psychology","level":1,"score":0.21539393067359924},{"id":"https://openalex.org/C118552586","wikidata":"https://www.wikidata.org/wiki/Q7867","display_name":"Psychiatry","level":1,"score":0.1869579255580902},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.12932559847831726},{"id":"https://openalex.org/C2779302386","wikidata":"https://www.wikidata.org/wiki/Q79871","display_name":"Anger","level":2,"score":0.10607370734214783},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C139719470","wikidata":"https://www.wikidata.org/wiki/Q39680","display_name":"Macroeconomics","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/iske.2017.8258766","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iske.2017.8258766","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 12th International Conference on Intelligent Systems and Knowledge Engineering (ISKE)","raw_type":"proceedings-article"},{"id":"pmh:oai:opus.lib.uts.edu.au:10453/125753","is_oa":false,"landing_page_url":"http://hdl.handle.net/10453/125753","pdf_url":null,"source":{"id":"https://openalex.org/S4306401357","display_name":"UTS ePRESS (University of Technology Sydney)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I114017466","host_organization_name":"University of Technology Sydney","host_organization_lineage":["https://openalex.org/I114017466"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Conference Proceeding"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":16,"referenced_works":["https://openalex.org/W156219938","https://openalex.org/W429766147","https://openalex.org/W1884002324","https://openalex.org/W1964168965","https://openalex.org/W2035762135","https://openalex.org/W2036599383","https://openalex.org/W2092539059","https://openalex.org/W2096352448","https://openalex.org/W2106581202","https://openalex.org/W2107068591","https://openalex.org/W2303755830","https://openalex.org/W2338950592","https://openalex.org/W2532857381","https://openalex.org/W6606409997","https://openalex.org/W6673467730","https://openalex.org/W6698131512"],"related_works":["https://openalex.org/W2120267809","https://openalex.org/W2373147122","https://openalex.org/W2913307771","https://openalex.org/W2058555531","https://openalex.org/W4311605484","https://openalex.org/W2902116245","https://openalex.org/W2393989740","https://openalex.org/W2558014965","https://openalex.org/W4281384481","https://openalex.org/W2010326093"],"abstract_inverted_index":{"Most":[0],"of":[1,22,48,73,95,98,104,127,142,168],"humankind":[2],"feel":[3],"sadness,":[4],"tragic,":[5],"feeling":[6],"down":[7],"from":[8],"time":[9,23],"to":[10,70,90,106,115,119,152,161],"time;":[11],"a":[12,33,38,57,92],"few":[13],"people":[14],"encounter":[15],"these":[16],"emotions":[17],"strongly,":[18],"for":[19],"long":[20],"period":[21],"and":[24,45,62,79],"usually":[25],"with":[26,150],"no":[27],"evident":[28],"reason.":[29],"Depression":[30,169],"is":[31,113,136],"not":[32],"low":[34],"mood":[35],"only;":[36],"it's":[37],"genuine":[39],"condition":[40],"that":[41,55],"affects":[42],"the":[43,49,77,81,96,108,120,128,133,153,166],"physical":[44],"mental":[46],"health":[47],"human.":[50],"There":[51],"are":[52,158],"many":[53],"studies":[54],"demonstrate":[56],"close":[58],"association":[59],"between":[60],"depression":[61,74],"type":[63],"2":[64,172],"diabetes.":[65],"Therefore,":[66],"this":[67,139],"paper":[68,140],"aims":[69,89],"consolidate":[71],"prediction":[72,130],"operation":[75],"through":[76],"developing":[78],"applying":[80],"machine":[82,87,163],"learning":[83,88,145,164],"techniques.":[84],"The":[85,110,156],"supervised":[86,144],"construct":[91],"compact":[93],"model":[94],"allocation":[97],"class":[99,117,134],"labels":[100,118],"based":[101,124],"on":[102,125],"set":[103],"features":[105],"mimic":[107],"reality.":[109],"classification":[111],"technique":[112],"used":[114,149,154],"give":[116],"subjects":[121],"under":[122],"testing":[123],"values":[126],"known":[129],"features,":[131],"but":[132],"label":[135],"unknown.":[137],"In":[138],"state":[141],"art":[143],"classifiers":[146],"have":[147],"been":[148],"modification":[151],"data.":[155],"results":[157],"very":[159],"encouraging":[160],"use":[162],"in":[165],"Prediction":[167],"among":[170],"Type":[171],"Diabetic":[173],"Patients.":[174]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":5},{"year":2023,"cited_by_count":12},{"year":2022,"cited_by_count":7},{"year":2021,"cited_by_count":5},{"year":2020,"cited_by_count":6},{"year":2019,"cited_by_count":3},{"year":2018,"cited_by_count":2}],"updated_date":"2026-04-16T08:26:57.006410","created_date":"2025-10-10T00:00:00"}
