{"id":"https://openalex.org/W4409472147","doi":"https://doi.org/10.1016/j.dajour.2025.100572","title":"A machine learning approach for text pattern diagnosis in mental health consultations","display_name":"A machine learning approach for text pattern diagnosis in mental health consultations","publication_year":2025,"publication_date":"2025-04-15","ids":{"openalex":"https://openalex.org/W4409472147","doi":"https://doi.org/10.1016/j.dajour.2025.100572"},"language":"en","primary_location":{"id":"doi:10.1016/j.dajour.2025.100572","doi":"https://doi.org/10.1016/j.dajour.2025.100572","is_oa":true,"landing_page_url":"https://doi.org/10.1016/j.dajour.2025.100572","pdf_url":null,"source":{"id":"https://openalex.org/S4210184862","display_name":"Decision Analytics Journal","issn_l":"2772-6622","issn":["2772-6622"],"is_oa":true,"is_in_doaj":true,"is_core":true,"listed_in":["cwts-core","doaj","jufo-1","norway-1","poland-20"],"host_organization":"https://openalex.org/P4310320990","host_organization_name":"Elsevier BV","host_organization_lineage":["https://openalex.org/P4310320990"],"host_organization_lineage_names":["Elsevier BV"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Decision Analytics Journal","raw_type":"journal-article"},"volume":null,"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.1016/j.dajour.2025.100572","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5055417546","display_name":"Safitri Juanita","orcid":"https://orcid.org/0000-0002-7787-7623","observed_orcids":["https://orcid.org/0000-0002-7787-7623"]},"institutions":[{"id":"https://openalex.org/I4210145783","display_name":"Universitas Budi Luhur","ror":"https://ror.org/04jhb1n36","country_code":"ID","type":"education","lineage":["https://openalex.org/I4210145783"]}],"countries":["ID"],"is_corresponding":true,"raw_author_name":"Safitri Juanita","raw_affiliation_strings":["Faculty of Information Technology, Universitas Budi Luhur, Jakarta, 12260, Indonesia"],"raw_orcid":"https://orcid.org/0000-0002-7787-7623","affiliations":[{"raw_affiliation_string":"Faculty of Information Technology, Universitas Budi Luhur, Jakarta, 12260, Indonesia","institution_ids":["https://openalex.org/I4210145783"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5116079693","display_name":"Anisah Hasratniwati Daeli","orcid":"https://orcid.org/0009-0006-4173-6956","observed_orcids":["https://orcid.org/0009-0006-4173-6956"]},"institutions":[{"id":"https://openalex.org/I4210145783","display_name":"Universitas Budi Luhur","ror":"https://ror.org/04jhb1n36","country_code":"ID","type":"education","lineage":["https://openalex.org/I4210145783"]}],"countries":["ID"],"is_corresponding":false,"raw_author_name":"Anisah Hasratniwati Daeli","raw_affiliation_strings":["Faculty of Information Technology, Universitas Budi Luhur, Jakarta, 12260, Indonesia"],"raw_orcid":"https://orcid.org/0009-0006-4173-6956","affiliations":[{"raw_affiliation_string":"Faculty of Information Technology, Universitas Budi Luhur, Jakarta, 12260, Indonesia","institution_ids":["https://openalex.org/I4210145783"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5024491662","display_name":"Mohammad Syafrullah","orcid":"https://orcid.org/0000-0001-6683-4014","observed_orcids":["https://orcid.org/0000-0001-6683-4014"]},"institutions":[{"id":"https://openalex.org/I4210145783","display_name":"Universitas Budi Luhur","ror":"https://ror.org/04jhb1n36","country_code":"ID","type":"education","lineage":["https://openalex.org/I4210145783"]}],"countries":["ID"],"is_corresponding":false,"raw_author_name":"Mohammad Syafrullah","raw_affiliation_strings":["Faculty of Information Technology, Universitas Budi Luhur, Jakarta, 12260, Indonesia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Faculty of Information Technology, Universitas Budi Luhur, Jakarta, 12260, Indonesia","institution_ids":["https://openalex.org/I4210145783"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5051188898","display_name":"Wiwik Anggraeni","orcid":"https://orcid.org/0000-0003-3010-3062","observed_orcids":["https://orcid.org/0000-0003-3010-3062"]},"institutions":[{"id":"https://openalex.org/I166843116","display_name":"Institut Teknologi Sepuluh Nopember","ror":"https://ror.org/05kbmmt89","country_code":"ID","type":"education","lineage":["https://openalex.org/I166843116"]}],"countries":["ID"],"is_corresponding":false,"raw_author_name":"Wiwik Anggraeni","raw_affiliation_strings":["Department of Information Systems, Institut Teknologi Sepuluh Nopember, Surabaya, 60111, Indonesia"],"raw_orcid":"https://orcid.org/0000-0003-3010-3062","affiliations":[{"raw_affiliation_string":"Department of Information Systems, Institut Teknologi Sepuluh Nopember, Surabaya, 60111, Indonesia","institution_ids":["https://openalex.org/I166843116"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5012595591","display_name":"Mauridhi Hery Purnomo","orcid":"https://orcid.org/0000-0002-6221-7382","observed_orcids":["https://orcid.org/0000-0002-6221-7382"]},"institutions":[{"id":"https://openalex.org/I166843116","display_name":"Institut Teknologi Sepuluh Nopember","ror":"https://ror.org/05kbmmt89","country_code":"ID","type":"education","lineage":["https://openalex.org/I166843116"]}],"countries":["ID"],"is_corresponding":true,"raw_author_name":"Mauridhi Hery Purnomo","raw_affiliation_strings":["Department of Computer Engineering, Institut Teknologi Sepuluh Nopember, Surabaya, 60111, Indonesia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Engineering, Institut Teknologi Sepuluh Nopember, Surabaya, 60111, Indonesia","institution_ids":["https://openalex.org/I166843116"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5012595591","https://openalex.org/A5055417546"],"corresponding_institution_ids":["https://openalex.org/I166843116","https://openalex.org/I4210145783"],"apc_list":{"value":1790,"currency":"USD","value_usd":1790},"apc_paid":{"value":1790,"currency":"USD","value_usd":1790},"fwci":13.2395,"has_fulltext":false,"cited_by_count":12,"citation_normalized_percentile":{"value":0.98904479,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":98,"max":99},"biblio":{"volume":"15","issue":null,"first_page":"100572","last_page":"100572"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12488","display_name":"Mental Health via Writing","score":0.8920999765396118,"subfield":{"id":"https://openalex.org/subfields/3207","display_name":"Social Psychology"},"field":{"id":"https://openalex.org/fields/32","display_name":"Psychology"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},"topics":[{"id":"https://openalex.org/T12488","display_name":"Mental Health via Writing","score":0.8920999765396118,"subfield":{"id":"https://openalex.org/subfields/3207","display_name":"Social 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":0.07150000333786011,"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/T10664","display_name":"Sentiment Analysis and Opinion Mining","score":0.015300000086426735,"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/mental-health-consultation","display_name":"mental health consultation","score":0.6970000267028809},{"id":"https://openalex.org/keywords/anxiety-prediction","display_name":"anxiety prediction","score":0.6830000281333923},{"id":"https://openalex.org/keywords/depression-prediction","display_name":"depression prediction","score":0.996999979019165},{"id":"https://openalex.org/keywords/stress-prediction","display_name":"stress prediction","score":0.9940000176429749},{"id":"https://openalex.org/keywords/online-medical-consultation","display_name":"online medical consultation","score":0.8389999866485596},{"id":"https://openalex.org/keywords/gradient-boosting","display_name":"gradient boosting","score":0.8309999704360962},{"id":"https://openalex.org/keywords/genetic-algorithm","display_name":"genetic algorithm","score":0.7870000004768372},{"id":"https://openalex.org/keywords/feature-extraction-comparison","display_name":"feature extraction comparison","score":0.7379999756813049},{"id":"https://openalex.org/keywords/word2vec","display_name":"Word2Vec","score":0.7979999780654907}],"concepts":[{"id":"https://openalex.org/C134362201","wikidata":"https://www.wikidata.org/wiki/Q317309","display_name":"Mental health","level":2,"score":0.5963504910469055},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4832537770271301},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.45007115602493286},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4115944504737854},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.35636287927627563},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3522154986858368},{"id":"https://openalex.org/C118552586","wikidata":"https://www.wikidata.org/wiki/Q7867","display_name":"Psychiatry","level":1,"score":0.26556116342544556}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1016/j.dajour.2025.100572","doi":"https://doi.org/10.1016/j.dajour.2025.100572","is_oa":true,"landing_page_url":"https://doi.org/10.1016/j.dajour.2025.100572","pdf_url":null,"source":{"id":"https://openalex.org/S4210184862","display_name":"Decision Analytics Journal","issn_l":"2772-6622","issn":["2772-6622"],"is_oa":true,"is_in_doaj":true,"is_core":true,"listed_in":["cwts-core","doaj","jufo-1","norway-1","poland-20"],"host_organization":"https://openalex.org/P4310320990","host_organization_name":"Elsevier BV","host_organization_lineage":["https://openalex.org/P4310320990"],"host_organization_lineage_names":["Elsevier BV"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Decision Analytics Journal","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.1016/j.dajour.2025.100572","doi":"https://doi.org/10.1016/j.dajour.2025.100572","is_oa":true,"landing_page_url":"https://doi.org/10.1016/j.dajour.2025.100572","pdf_url":null,"source":{"id":"https://openalex.org/S4210184862","display_name":"Decision Analytics Journal","issn_l":"2772-6622","issn":["2772-6622"],"is_oa":true,"is_in_doaj":true,"is_core":true,"listed_in":["cwts-core","doaj","jufo-1","norway-1","poland-20"],"host_organization":"https://openalex.org/P4310320990","host_organization_name":"Elsevier BV","host_organization_lineage":["https://openalex.org/P4310320990"],"host_organization_lineage_names":["Elsevier BV"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Decision Analytics Journal","raw_type":"journal-article"},"sustainable_development_goals":[{"display_name":"Good health and well-being","score":0.9391000270843506,"id":"https://metadata.un.org/sdg/3"}],"sustainable_development_goals_aurora":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":47,"referenced_works":["https://openalex.org/W3003514983","https://openalex.org/W3008864515","https://openalex.org/W3011679831","https://openalex.org/W3013908145","https://openalex.org/W3028611907","https://openalex.org/W3046117839","https://openalex.org/W3048469880","https://openalex.org/W3082929259","https://openalex.org/W3089862415","https://openalex.org/W3133097824","https://openalex.org/W3136738164","https://openalex.org/W3158737092","https://openalex.org/W3159245381","https://openalex.org/W3159928349","https://openalex.org/W3162632106","https://openalex.org/W3164920349","https://openalex.org/W3182952703","https://openalex.org/W3186091442","https://openalex.org/W4200136078","https://openalex.org/W4200318716","https://openalex.org/W4206965408","https://openalex.org/W4214898695","https://openalex.org/W4223610593","https://openalex.org/W4225493996","https://openalex.org/W4225597912","https://openalex.org/W4286252375","https://openalex.org/W4306670816","https://openalex.org/W4308590518","https://openalex.org/W4313488044","https://openalex.org/W4319598996","https://openalex.org/W4366821924","https://openalex.org/W4372311383","https://openalex.org/W4376132482","https://openalex.org/W4386320423","https://openalex.org/W4387473379","https://openalex.org/W4387789771","https://openalex.org/W4388878965","https://openalex.org/W4391672460","https://openalex.org/W4392157583","https://openalex.org/W4393199286","https://openalex.org/W4396506849","https://openalex.org/W4398250210","https://openalex.org/W4400878251","https://openalex.org/W4408592453","https://openalex.org/W6839962662","https://openalex.org/W6852946407","https://openalex.org/W6857238438"],"related_works":["https://openalex.org/W2961085424","https://openalex.org/W4306674287","https://openalex.org/W4387369504","https://openalex.org/W4394896187","https://openalex.org/W3170094116","https://openalex.org/W4386462264","https://openalex.org/W3107602296","https://openalex.org/W4364306694","https://openalex.org/W4312192474","https://openalex.org/W4283697347"],"abstract_inverted_index":{"Online":[0,63],"health":[1,8,46,64,213,246],"consultation":[2,65],"services":[3],"are":[4],"crucial":[5],"for":[6,44,99,152,161,182,280,287],"mental":[7,45,212,245],"support,":[9],"particularly":[10],"in":[11,248,291],"densely":[12],"populated":[13],"areas.":[14],"However,":[15],"the":[16,138,174,194,266],"heavy":[17],"reliance":[18],"on":[19,50],"human":[20],"expertise":[21],"often":[22],"leads":[23],"to":[24,39,233,243,256],"delays,":[25],"necessitating":[26],"more":[27],"efficient":[28],"and":[29,53,84,87,96,115,149,155,158,190,193,196,222,230,278],"automated":[30],"solutions.":[31],"This":[32,204],"study":[33],"developed":[34],"a":[35,239],"machine":[36,103,208,240],"learning":[37,104,209,241],"framework":[38,242],"automate":[40,211],"doctor":[41,249],"response":[42],"patterns":[43],"questions":[47],"\u2014":[48,55,106,118],"focusing":[49],"anxiety,":[51],"depression,":[52],"stress":[54,162],"using":[56],"clinically":[57],"validated":[58],"data":[59],"from":[60],"an":[61],"Indonesian":[62],"platform.":[66],"We":[67],"performed":[68],"comprehensive":[69],"text":[70,258],"preprocessing,":[71],"including":[72],"duplicate":[73],"removal,":[74,81],"special":[75],"character":[76],"elimination,":[77],"case":[78],"folding,":[79],"stopword":[80],"tokenization,":[82],"lemmatization,":[83],"part-of-speech":[85],"tagging,":[86],"evaluated":[88],"four":[89],"feature":[90,253],"extraction":[91,254],"methods:":[92],"Word2Vec,":[93],"Bag-of-Words,":[94],"N-Gram,":[95],"Global":[97],"Vectors":[98],"Word":[100],"Representation.":[101],"Five":[102],"algorithms":[105],"Na\u00efve":[107],"Bayes,":[108],"K-Nearest":[109],"Neighbors,":[110],"Random":[111],"Forest,":[112],"Neural":[113],"Network,":[114],"Gradient":[116,135,165,175,218,263],"Boosting":[117,136,219,264],"were":[119],"tested,":[120],"along":[121],"with":[122,145,217],"hybrid":[123,168,178,274],"models":[124,229,275],"combining":[125],"Bagging":[126],"Classifier":[127,167],"or":[128],"Genetic":[129],"Algorithm.":[130],"The":[131,164],"results":[132],"showed":[133,179],"that":[134,207,273],"achieved":[137],"highest":[139],"accuracy":[140,171,221],"(0.842)":[141],"among":[142],"standalone":[143,269],"models,":[144],"high":[146],"precision":[147,277],"(0.858)":[148],"F1-score":[150,159],"(0.864)":[151],"depression":[153],"prediction,":[154],"recall":[156,279],"(0.850)":[157],"(0.856)":[160],"prediction.":[163,282],"Boosting-Bagging":[166],"matched":[169],"this":[170],"(0.842),":[172],"while":[173],"Boosting-Genetic":[176],"Algorithm":[177],"superior":[180],"performance":[181],"anxiety":[183,281],"prediction":[184],"(precision:":[185],"0.888,":[186],"recall:":[187],"0.816).":[188],"N-Gram":[189],"Bag-of-Words":[191],"methods":[192,255],"90:10":[195],"70:30":[197],"train\u2013test":[198],"splits":[199],"consistently":[200],"produced":[201],"optimal":[202],"results.":[203],"work":[205],"demonstrates":[206],"can":[210],"responses":[214],"at":[215],"scale,":[216],"balancing":[220],"efficiency.":[223],"Future":[224],"research":[225],"will":[226],"explore":[227],"transformer-based":[228],"multilingual":[231],"validation":[232],"improve":[234],"broader":[235],"implementation.":[236],"\u2022":[237,251,261,271,283],"Develop":[238],"classify":[244],"topics":[247],"responses.":[250,292],"Evaluate":[252],"optimize":[257],"pattern":[259],"recognition.":[260],"Identify":[262],"as":[265],"most":[267],"effective":[268],"model.":[270],"Demonstrate":[272],"enhance":[276],"Recommend":[284],"advanced":[285],"embeddings":[286],"improved":[288],"contextual":[289],"understanding":[290]},"counts_by_year":[{"year":2026,"cited_by_count":7},{"year":2025,"cited_by_count":5}],"updated_date":"2026-10-16T09:59:22.235173","created_date":"2025-10-10T00:00:00"}
