{"id":"https://openalex.org/W7129699170","doi":"https://doi.org/10.1109/punecon67554.2025.11377816","title":"AI/ML Based Detection of Post-Traumatic Stress Disorder (PTSD)","display_name":"AI/ML Based Detection of Post-Traumatic Stress Disorder (PTSD)","publication_year":2025,"publication_date":"2025-12-12","ids":{"openalex":"https://openalex.org/W7129699170","doi":"https://doi.org/10.1109/punecon67554.2025.11377816"},"language":"en","primary_location":{"id":"doi:10.1109/punecon67554.2025.11377816","doi":"https://doi.org/10.1109/punecon67554.2025.11377816","is_oa":false,"landing_page_url":"https://doi.org/10.1109/punecon67554.2025.11377816","pdf_url":null,"source":{"id":"https://openalex.org/S7407088372","display_name":"IEEE Pune Section International Conference (PuneCon)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE Pune Section International Conference (PuneCon)","raw_type":"proceedings-article"},"volume":null,"type":"conference-paper","is_traditional":true,"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/A5126276907","display_name":"Tanmay Gosavi","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I4405261723","display_name":"Marathwada Mitra Mandal's College of Engineering","ror":"https://ror.org/05radqp27","country_code":"IN","type":"education","lineage":["https://openalex.org/I4405261723"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Tanmay Gosavi","raw_affiliation_strings":["Marathwada Mitra Mandal College of Engineering,AI&DS Dept.,Pune,India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Marathwada Mitra Mandal College of Engineering,AI&DS Dept.,Pune,India","institution_ids":["https://openalex.org/I4405261723"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5028507461","display_name":"Chhaya Santosh Gosavi","orcid":"https://orcid.org/0000-0002-2348-0698","observed_orcids":["https://orcid.org/0000-0002-2348-0698"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Chhaya Gosavi","raw_affiliation_strings":["Cummins College of Engineering for Women,Comp. Dept.,Pune,India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Cummins College of Engineering for Women,Comp. Dept.,Pune,India","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5021187328","display_name":"Reena Pagare","orcid":"https://orcid.org/0000-0001-6366-2093","observed_orcids":["https://orcid.org/0000-0001-6366-2093"]},"institutions":[{"id":"https://openalex.org/I4210162439","display_name":"MIT Art, Design and Technology University","ror":"https://ror.org/05b69xa56","country_code":"IN","type":"education","lineage":["https://openalex.org/I4210162439"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Reena Pagare","raw_affiliation_strings":["CSE, MIT Art Design & Technology University,Pune,India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"CSE, MIT Art Design & Technology University,Pune,India","institution_ids":["https://openalex.org/I4210162439"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.0,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"4"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11396","display_name":"Artificial Intelligence in Healthcare","score":0.9218999743461609,"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":0.9218999743461609,"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/T10242","display_name":"Posttraumatic Stress Disorder Research","score":0.07240000367164612,"subfield":{"id":"https://openalex.org/subfields/3203","display_name":"Clinical 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/T10416","display_name":"Traumatic Brain Injury Research","score":0.0005000000237487257,"subfield":{"id":"https://openalex.org/subfields/2728","display_name":"Clinical Neurology"},"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/posttraumatic-stress-disorder","display_name":"post-traumatic stress disorder","score":1.0},{"id":"https://openalex.org/keywords/ptsd-screening","display_name":"PTSD screening","score":0.7350000143051147},{"id":"https://openalex.org/keywords/random-forest","display_name":"random forest","score":0.9729999899864197},{"id":"https://openalex.org/keywords/feature-selection","display_name":"feature selection","score":0.9480000138282776},{"id":"https://openalex.org/keywords/model-interpretability","display_name":"model interpretability","score":0.925000011920929},{"id":"https://openalex.org/keywords/psychological-trauma","display_name":"psychological trauma","score":0.4339999854564667},{"id":"https://openalex.org/keywords/clinical-decision-support","display_name":"clinical decision support","score":0.4620000123977661}],"concepts":[{"id":"https://openalex.org/C2781067378","wikidata":"https://www.wikidata.org/wiki/Q17027399","display_name":"Interpretability","level":2,"score":0.8167999982833862},{"id":"https://openalex.org/C148483581","wikidata":"https://www.wikidata.org/wiki/Q446488","display_name":"Feature selection","level":2,"score":0.6543999910354614},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5789999961853027},{"id":"https://openalex.org/C169258074","wikidata":"https://www.wikidata.org/wiki/Q245748","display_name":"Random forest","level":2,"score":0.5684999823570251},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.508400022983551},{"id":"https://openalex.org/C177212765","wikidata":"https://www.wikidata.org/wiki/Q627335","display_name":"Workflow","level":2,"score":0.48570001125335693},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.47519999742507935},{"id":"https://openalex.org/C2777286243","wikidata":"https://www.wikidata.org/wiki/Q5591926","display_name":"Grading (engineering)","level":2,"score":0.38109999895095825},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.3637999892234802},{"id":"https://openalex.org/C2778159538","wikidata":"https://www.wikidata.org/wiki/Q16920843","display_name":"Traumatic stress","level":2,"score":0.32170000672340393},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.31209999322891235},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.2992999851703644},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.2978000044822693},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.29019999504089355},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.2879999876022339},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.2721000015735626},{"id":"https://openalex.org/C136389625","wikidata":"https://www.wikidata.org/wiki/Q334384","display_name":"Supervised learning","level":3,"score":0.2703000009059906},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.2572000026702881},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.2540000081062317},{"id":"https://openalex.org/C110083411","wikidata":"https://www.wikidata.org/wiki/Q1744628","display_name":"Statistical classification","level":2,"score":0.25209999084472656}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/punecon67554.2025.11377816","doi":"https://doi.org/10.1109/punecon67554.2025.11377816","is_oa":false,"landing_page_url":"https://doi.org/10.1109/punecon67554.2025.11377816","pdf_url":null,"source":{"id":"https://openalex.org/S7407088372","display_name":"IEEE Pune Section International Conference (PuneCon)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE Pune Section International Conference (PuneCon)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.98580002784729,"display_name":"Good health and well-being","id":"https://metadata.un.org/sdg/3"}],"study_designs":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":4,"referenced_works":["https://openalex.org/W4387100013","https://openalex.org/W4394718458","https://openalex.org/W4396780484","https://openalex.org/W4406641915"],"related_works":["https://openalex.org/W4387100013","https://openalex.org/W7084752309","https://openalex.org/W7155641398","https://openalex.org/W1624590394","https://openalex.org/W7168029072","https://openalex.org/W4396780484","https://openalex.org/W3124231351","https://openalex.org/W3049438434","https://openalex.org/W7162442961","https://openalex.org/W3092629098"],"abstract_inverted_index":{"PTSD":[0,65],"(Post":[1],"Traumatic":[2],"Stress":[3],"Disorder)":[4],"is":[5,90],"a":[6,59,82],"psychological":[7],"condition":[8],"triggered":[9],"by":[10],"various":[11],"factors":[12],"such":[13],"as":[14],"traumatic":[15],"events,":[16],"including":[17,100],"abuse,":[18],"natural":[19],"disasters,":[20],"war":[21],"etc.":[22],"Conventional":[23],"diagnostics":[24],"methods":[25],"are":[26],"time":[27],"consuming,":[28],"labor-intensive":[29],"and":[30,42,95,105],"heavily":[31],"rely":[32],"on":[33,92],"clinical":[34,67],"expertise.":[35],"Recent":[36],"advancements":[37],"in":[38],"Artificial":[39],"Intelligence":[40],"(AI)":[41],"Machine":[43],"Learning":[44],"(ML)":[45],"present":[46],"opportunities":[47],"for":[48,85],"advanced":[49],"screening":[50],"tools.":[51],"This":[52],"Study":[53],"proposes":[54],"an":[55],"ML":[56],"framework":[57],"employing":[58],"Random":[60],"Forest":[61],"Classifier":[62],"to":[63],"identify":[64],"using":[66],"evaluation":[68],"data.":[69],"The":[70],"model":[71],"attained":[72],"98%":[73],"classification":[74],"accuracy":[75],"with":[76,97],"minimal":[77],"misclassification":[78],"errors":[79],"which":[80],"indicates":[81],"strong":[83],"potential":[84],"real-":[86],"world":[87],"implementation.":[88],"Emphasis":[89],"placed":[91],"feature":[93],"selection":[94],"interpretability":[96],"future":[98],"directions":[99],"longitudinal":[101],"tracking,":[102],"severity":[103],"grading":[104],"integration":[106],"into":[107],"medical":[108],"workflow":[109]},"counts_by_year":[],"updated_date":"2026-11-10T11:39:43.021295","created_date":"2026-02-18T00:00:00"}
