{"id":"https://openalex.org/W2804303895","doi":"https://doi.org/10.1145/3164541.3164604","title":"A Data Mining Approach for Prediction of Students' Depression Using Logistic Regression And Artificial Neural Network","display_name":"A Data Mining Approach for Prediction of Students' Depression Using Logistic Regression And Artificial Neural Network","publication_year":2018,"publication_date":"2018-01-05","ids":{"openalex":"https://openalex.org/W2804303895","doi":"https://doi.org/10.1145/3164541.3164604","mag":"2804303895"},"language":"en","primary_location":{"id":"doi:10.1145/3164541.3164604","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3164541.3164604","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 12th International Conference on Ubiquitous Information Management and Communication","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/A5061058545","display_name":"Norhatta Mohd","orcid":null},"institutions":[{"id":"https://openalex.org/I4528857","display_name":"University of Kuala Lumpur","ror":"https://ror.org/026wwrx19","country_code":"MY","type":"education","lineage":["https://openalex.org/I4528857"]}],"countries":["MY"],"is_corresponding":false,"raw_author_name":"Norhatta Mohd","raw_affiliation_strings":["Universiti Kuala Lumpur, Kuala Lumpur, Malaysia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Universiti Kuala Lumpur, Kuala Lumpur, Malaysia","institution_ids":["https://openalex.org/I4528857"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5112365644","display_name":"Yasmin Yahya","orcid":null},"institutions":[{"id":"https://openalex.org/I4528857","display_name":"University of Kuala Lumpur","ror":"https://ror.org/026wwrx19","country_code":"MY","type":"education","lineage":["https://openalex.org/I4528857"]}],"countries":["MY"],"is_corresponding":false,"raw_author_name":"Yasmin Yahya","raw_affiliation_strings":["Universiti Kuala Lumpur, Kuala Lumpur, Malaysia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Universiti Kuala Lumpur, Kuala Lumpur, Malaysia","institution_ids":["https://openalex.org/I4528857"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I4528857"],"apc_list":null,"apc_paid":null,"fwci":1.3218,"has_fulltext":false,"cited_by_count":14,"citation_normalized_percentile":{"value":0.83776481,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"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/T11122","display_name":"Online Learning and Analytics","score":0.9991999864578247,"subfield":{"id":"https://openalex.org/subfields/1706","display_name":"Computer Science Applications"},"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/T11122","display_name":"Online Learning and Analytics","score":0.9991999864578247,"subfield":{"id":"https://openalex.org/subfields/1706","display_name":"Computer Science Applications"},"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/T13283","display_name":"Mental Health Research Topics","score":0.9616000056266785,"subfield":{"id":"https://openalex.org/subfields/3205","display_name":"Experimental and Cognitive Psychology"},"field":{"id":"https://openalex.org/fields/32","display_name":"Psychology"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T11396","display_name":"Artificial Intelligence in Healthcare","score":0.9542999863624573,"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/logistic-regression","display_name":"Logistic regression","score":0.8162835836410522},{"id":"https://openalex.org/keywords/intrapersonal-communication","display_name":"Intrapersonal communication","score":0.7857298851013184},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.7534241676330566},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6022776961326599},{"id":"https://openalex.org/keywords/depression","display_name":"Depression (economics)","score":0.5977709293365479},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5768181085586548},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.513167679309845},{"id":"https://openalex.org/keywords/regression-analysis","display_name":"Regression analysis","score":0.5076674222946167},{"id":"https://openalex.org/keywords/regression","display_name":"Regression","score":0.4334741234779358},{"id":"https://openalex.org/keywords/interpersonal-communication","display_name":"Interpersonal communication","score":0.35784095525741577},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3354909420013428},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.30528903007507324},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.22631874680519104},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.12608706951141357},{"id":"https://openalex.org/keywords/social-psychology","display_name":"Social psychology","score":0.08548253774642944}],"concepts":[{"id":"https://openalex.org/C151956035","wikidata":"https://www.wikidata.org/wiki/Q1132755","display_name":"Logistic regression","level":2,"score":0.8162835836410522},{"id":"https://openalex.org/C153721897","wikidata":"https://www.wikidata.org/wiki/Q3436149","display_name":"Intrapersonal communication","level":3,"score":0.7857298851013184},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.7534241676330566},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6022776961326599},{"id":"https://openalex.org/C2776867660","wikidata":"https://www.wikidata.org/wiki/Q1814941","display_name":"Depression (economics)","level":2,"score":0.5977709293365479},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5768181085586548},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.513167679309845},{"id":"https://openalex.org/C152877465","wikidata":"https://www.wikidata.org/wiki/Q208042","display_name":"Regression analysis","level":2,"score":0.5076674222946167},{"id":"https://openalex.org/C83546350","wikidata":"https://www.wikidata.org/wiki/Q1139051","display_name":"Regression","level":2,"score":0.4334741234779358},{"id":"https://openalex.org/C164850336","wikidata":"https://www.wikidata.org/wiki/Q3685487","display_name":"Interpersonal communication","level":2,"score":0.35784095525741577},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3354909420013428},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.30528903007507324},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.22631874680519104},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.12608706951141357},{"id":"https://openalex.org/C77805123","wikidata":"https://www.wikidata.org/wiki/Q161272","display_name":"Social psychology","level":1,"score":0.08548253774642944},{"id":"https://openalex.org/C139719470","wikidata":"https://www.wikidata.org/wiki/Q39680","display_name":"Macroeconomics","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:10.1145/3164541.3164604","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3164541.3164604","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 12th International Conference on Ubiquitous Information Management and Communication","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/4","display_name":"Quality Education","score":0.5400000214576721}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":27,"referenced_works":["https://openalex.org/W158579568","https://openalex.org/W179175498","https://openalex.org/W602168983","https://openalex.org/W1582393564","https://openalex.org/W1824397778","https://openalex.org/W1993759163","https://openalex.org/W2010349343","https://openalex.org/W2031096571","https://openalex.org/W2042640607","https://openalex.org/W2059099031","https://openalex.org/W2083194800","https://openalex.org/W2100525561","https://openalex.org/W2106619744","https://openalex.org/W2117817690","https://openalex.org/W2128331699","https://openalex.org/W2134696506","https://openalex.org/W2150088890","https://openalex.org/W2186586990","https://openalex.org/W2187243026","https://openalex.org/W2235558127","https://openalex.org/W2255539840","https://openalex.org/W2309382435","https://openalex.org/W2321708421","https://openalex.org/W2331269392","https://openalex.org/W2440573849","https://openalex.org/W2516551564","https://openalex.org/W2547279294"],"related_works":["https://openalex.org/W2792411458","https://openalex.org/W3039229548","https://openalex.org/W2101353010","https://openalex.org/W3198600371","https://openalex.org/W3187125654","https://openalex.org/W2012945490","https://openalex.org/W2411490467","https://openalex.org/W2908753934","https://openalex.org/W4318714931","https://openalex.org/W2334423826"],"abstract_inverted_index":{"Due":[0],"to":[1,28,52,80],"the":[2,12,54,82,96,124,127],"rapid":[3],"changes":[4],"in":[5,37],"human":[6],"lifestyles,":[7],"stress":[8],"is":[9,51,116],"one":[10],"of":[11,15,24,48,56,63,87,98,102,131],"main":[13],"aspects":[14],"our":[16,99],"modern":[17],"life.":[18],"A":[19],"new":[20],"environment":[21,77],"and":[22,42,74,76,105,111],"system":[23],"education":[25],"could":[26],"lead":[27],"students'":[29,83],"depression.":[30,84],"Two":[31],"data":[32,58],"mining":[33,59],"techniques":[34,89],"were":[35],"used":[36],"this":[38,49],"study;":[39],"Logistic":[40,103],"Regression":[41,104],"Artificial":[43,106,119],"Neural":[44,107,120],"Network.":[45],"The":[46,85],"purpose":[47],"study":[50],"compare":[53],"performance":[55],"different":[57],"algorithm":[60],"for":[61],"prediction":[62],"depression":[64,125],"among":[65],"UniKL":[66],"MIIT":[67],"students.":[68],"Stress":[69],"factors,":[70],"social":[71],"factors":[72],"(interpersonal":[73],"intrapersonal)":[75],"factor":[78],"attributes":[79],"predict":[81],"performances":[86],"these":[88,132],"are":[90,109],"compared,":[91],"based":[92],"on":[93],"accuracy.":[94],"From":[95],"findings":[97],"analysis,":[100],"accuracy":[101,129],"Network":[108],"62.5%":[110],"71.8%":[112],"respectively.":[113],"Therefore,":[114],"it":[115],"shown":[117],"that":[118],"Networks":[121],"technique":[122],"predicts":[123],"with":[126],"highest":[128],"out":[130],"two":[133],"classification":[134],"models.":[135]},"counts_by_year":[{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":3},{"year":2020,"cited_by_count":1}],"updated_date":"2026-06-26T08:34:08.712188","created_date":"2025-10-10T00:00:00"}
