{"id":"https://openalex.org/W7126026868","doi":"https://doi.org/10.1109/bibm66473.2025.11356081","title":"Explainable LLM-Based Prenatal Depression Screening from Questionnaires","display_name":"Explainable LLM-Based Prenatal Depression Screening from Questionnaires","publication_year":2025,"publication_date":"2025-12-15","ids":{"openalex":"https://openalex.org/W7126026868","doi":"https://doi.org/10.1109/bibm66473.2025.11356081"},"language":null,"primary_location":{"id":"doi:10.1109/bibm66473.2025.11356081","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bibm66473.2025.11356081","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)","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/A5100346343","display_name":"Yiming Li","orcid":"https://orcid.org/0000-0002-6107-5618"},"institutions":[{"id":"https://openalex.org/I194450716","display_name":"Jilin University","ror":"https://ror.org/00js3aw79","country_code":"CN","type":"education","lineage":["https://openalex.org/I194450716"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yuexin Li","raw_affiliation_strings":["College of Computer Science and Technology, Jilin University,Key Laboratory for Symbol Computation and Knowledge Engineering of National Education Ministry,Changchun,China"],"affiliations":[{"raw_affiliation_string":"College of Computer Science and Technology, Jilin University,Key Laboratory for Symbol Computation and Knowledge Engineering of National Education Ministry,Changchun,China","institution_ids":["https://openalex.org/I194450716"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Xiaoyue Feng","orcid":null},"institutions":[{"id":"https://openalex.org/I194450716","display_name":"Jilin University","ror":"https://ror.org/00js3aw79","country_code":"CN","type":"education","lineage":["https://openalex.org/I194450716"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaoyue Feng","raw_affiliation_strings":["College of Computer Science and Technology, Jilin University,Key Laboratory for Symbol Computation and Knowledge Engineering of National Education Ministry,Changchun,China"],"affiliations":[{"raw_affiliation_string":"College of Computer Science and Technology, Jilin University,Key Laboratory for Symbol Computation and Knowledge Engineering of National Education Ministry,Changchun,China","institution_ids":["https://openalex.org/I194450716"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5124189965","display_name":"Renchu Guan","orcid":null},"institutions":[{"id":"https://openalex.org/I194450716","display_name":"Jilin University","ror":"https://ror.org/00js3aw79","country_code":"CN","type":"education","lineage":["https://openalex.org/I194450716"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Renchu Guan","raw_affiliation_strings":["College of Computer Science and Technology, Jilin University,Key Laboratory for Symbol Computation and Knowledge Engineering of National Education Ministry,Changchun,China"],"affiliations":[{"raw_affiliation_string":"College of Computer Science and Technology, Jilin University,Key Laboratory for Symbol Computation and Knowledge Engineering of National Education Ministry,Changchun,China","institution_ids":["https://openalex.org/I194450716"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5066623346","display_name":"Xiaosong Han","orcid":"https://orcid.org/0000-0001-7353-5186"},"institutions":[{"id":"https://openalex.org/I194450716","display_name":"Jilin University","ror":"https://ror.org/00js3aw79","country_code":"CN","type":"education","lineage":["https://openalex.org/I194450716"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaosong Han","raw_affiliation_strings":["College of Computer Science and Technology, Jilin University,Key Laboratory for Symbol Computation and Knowledge Engineering of National Education Ministry,Changchun,China"],"affiliations":[{"raw_affiliation_string":"College of Computer Science and Technology, Jilin University,Key Laboratory for Symbol Computation and Knowledge Engineering of National Education Ministry,Changchun,China","institution_ids":["https://openalex.org/I194450716"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5100346343"],"corresponding_institution_ids":["https://openalex.org/I194450716"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.77059145,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"2470","last_page":"2475"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12488","display_name":"Mental Health via Writing","score":0.31450000405311584,"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":0.31450000405311584,"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/T10786","display_name":"Maternal Mental Health During Pregnancy and Postpartum","score":0.26429998874664307,"subfield":{"id":"https://openalex.org/subfields/2739","display_name":"Public Health, Environmental and Occupational Health"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},{"id":"https://openalex.org/T13702","display_name":"Machine Learning in Healthcare","score":0.050999999046325684,"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/interpretability","display_name":"Interpretability","score":0.8445000052452087},{"id":"https://openalex.org/keywords/class","display_name":"Class (philosophy)","score":0.48429998755455017},{"id":"https://openalex.org/keywords/recall","display_name":"Recall","score":0.46630001068115234},{"id":"https://openalex.org/keywords/directive","display_name":"Directive","score":0.41350001096725464},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.3573000133037567},{"id":"https://openalex.org/keywords/prenatal-screening","display_name":"Prenatal screening","score":0.35600000619888306},{"id":"https://openalex.org/keywords/adaptation","display_name":"Adaptation (eye)","score":0.3422999978065491}],"concepts":[{"id":"https://openalex.org/C2781067378","wikidata":"https://www.wikidata.org/wiki/Q17027399","display_name":"Interpretability","level":2,"score":0.8445000052452087},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5577999949455261},{"id":"https://openalex.org/C2777212361","wikidata":"https://www.wikidata.org/wiki/Q5127848","display_name":"Class (philosophy)","level":2,"score":0.48429998755455017},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.47450000047683716},{"id":"https://openalex.org/C100660578","wikidata":"https://www.wikidata.org/wiki/Q18733","display_name":"Recall","level":2,"score":0.46630001068115234},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4629000127315521},{"id":"https://openalex.org/C2779547435","wikidata":"https://www.wikidata.org/wiki/Q1121492","display_name":"Directive","level":2,"score":0.41350001096725464},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.3573000133037567},{"id":"https://openalex.org/C2992422692","wikidata":"https://www.wikidata.org/wiki/Q1136569","display_name":"Prenatal screening","level":5,"score":0.35600000619888306},{"id":"https://openalex.org/C139807058","wikidata":"https://www.wikidata.org/wiki/Q352374","display_name":"Adaptation (eye)","level":2,"score":0.3422999978065491},{"id":"https://openalex.org/C137293760","wikidata":"https://www.wikidata.org/wiki/Q3621696","display_name":"Language model","level":2,"score":0.3377000093460083},{"id":"https://openalex.org/C206345919","wikidata":"https://www.wikidata.org/wiki/Q20380951","display_name":"Resource (disambiguation)","level":2,"score":0.33230000734329224},{"id":"https://openalex.org/C127705205","wikidata":"https://www.wikidata.org/wiki/Q5748245","display_name":"Heuristics","level":2,"score":0.3255000114440918},{"id":"https://openalex.org/C2780801425","wikidata":"https://www.wikidata.org/wiki/Q5164392","display_name":"Construct (python library)","level":2,"score":0.32109999656677246},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.3167000114917755},{"id":"https://openalex.org/C180747234","wikidata":"https://www.wikidata.org/wiki/Q23373","display_name":"Cognitive psychology","level":1,"score":0.2996000051498413},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.2937999963760376},{"id":"https://openalex.org/C2780665704","wikidata":"https://www.wikidata.org/wiki/Q959298","display_name":"Intervention (counseling)","level":2,"score":0.2872999906539917},{"id":"https://openalex.org/C70410870","wikidata":"https://www.wikidata.org/wiki/Q199906","display_name":"Clinical psychology","level":1,"score":0.2833000123500824},{"id":"https://openalex.org/C75630572","wikidata":"https://www.wikidata.org/wiki/Q538904","display_name":"Applied psychology","level":1,"score":0.28040000796318054},{"id":"https://openalex.org/C70727504","wikidata":"https://www.wikidata.org/wiki/Q1806878","display_name":"Latent class model","level":2,"score":0.26930001378059387},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.2630999982357025},{"id":"https://openalex.org/C2776867660","wikidata":"https://www.wikidata.org/wiki/Q1814941","display_name":"Depression (economics)","level":2,"score":0.2583000063896179}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/bibm66473.2025.11356081","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bibm66473.2025.11356081","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.5800745487213135,"id":"https://metadata.un.org/sdg/1","display_name":"No poverty"}],"awards":[{"id":"https://openalex.org/G524802635","display_name":null,"funder_award_id":"62372494,62372209,62272192,62172187","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":25,"referenced_works":["https://openalex.org/W2066294093","https://openalex.org/W2088307049","https://openalex.org/W2118012587","https://openalex.org/W2121244063","https://openalex.org/W2149264570","https://openalex.org/W2156104108","https://openalex.org/W2510272695","https://openalex.org/W2516809705","https://openalex.org/W2749618323","https://openalex.org/W2770833081","https://openalex.org/W2963351448","https://openalex.org/W3006944055","https://openalex.org/W3087280641","https://openalex.org/W3137136159","https://openalex.org/W4205464731","https://openalex.org/W4294090791","https://openalex.org/W4322766882","https://openalex.org/W4378234427","https://openalex.org/W4392503764","https://openalex.org/W4393949820","https://openalex.org/W4396920249","https://openalex.org/W4401567379","https://openalex.org/W4402527175","https://openalex.org/W4406662678","https://openalex.org/W4408725790"],"related_works":[],"abstract_inverted_index":{"Early":[0],"screening":[1,16,222],"for":[2,100,149,201,215],"prenatal":[3],"depression":[4],"is":[5,210],"of":[6,24,37,167,173,178,238],"critical":[7],"importance":[8],"to":[9,53,103,113,190,218,235],"maternal":[10],"and":[11,34,65,96,153,169,198,231],"infant":[12],"health.":[13],"However,":[14],"traditional":[15],"methods":[17],"are":[18],"fundamentally":[19],"limited":[20],"by":[21,79],"a":[22,35,86,155,170,211,228],"confluence":[23],"challenges,":[25],"including":[26],"data":[27],"imbalance,":[28],"resource":[29],"constraints,":[30],"poor":[31],"model":[32,102,163],"adaptability,":[33],"lack":[36],"interpretability.":[38],"While":[39],"Large":[40],"Language":[41],"Models":[42],"(LLMs)":[43],"show":[44],"potential":[45],"in":[46],"medical":[47,240],"text":[48],"analysis,":[49],"their":[50,202],"direct":[51],"application":[52],"class-imbalanced":[54],"tasks":[55],"requires":[56],"significant":[57],"optimization.":[58],"To":[59],"address":[60],"these":[61],"limitations,":[62],"we":[63],"propose":[64],"evaluate":[66],"an":[67,97,165],"Instruction":[68,142,208],"Fine-Tuning":[69,143,209],"methodology,":[70],"integrating":[71],"prompt":[72],"engineering":[73],"directly":[74,108],"into":[75],"the":[76,101,110,127,150,176,187,236],"training":[77],"phase":[78],"prepending":[80],"each":[81],"questionnaire-based":[82],"case":[83],"description":[84],"with":[85,140],"structured,":[87],"task-specific":[88],"directive.":[89],"This":[90,204],"directive":[91],"encodes":[92],"expert":[93],"domain":[94],"knowledge":[95],"explicit":[98],"instruction":[99],"prioritize":[104],"high":[105],"recall,":[106],"thereby":[107],"addressing":[109],"clinical":[111,221],"need":[112],"minimize":[114],"false":[115],"negatives.":[116],"Several":[117],"language":[118],"models":[119,138,188],"were":[120],"adapted":[121],"using":[122],"this":[123],"instruction-augmented":[124],"dataset":[125],"via":[126],"parameter-efficient":[128],"Low-Rank":[129],"Adaptation":[130],"(LoRA)":[131],"technique.":[132],"The":[133,224],"experimental":[134],"results":[135],"demonstrate":[136],"that":[137,186,207],"trained":[139],"our":[141,179,182],"method":[144],"exhibit":[145],"significantly":[146],"higher":[147],"recall":[148],"minority":[151],"class":[152],"achieve":[154],"more":[156],"balanced":[157],"overall":[158],"performance.":[159],"Our":[160],"best-performing":[161],"instruction-tuned":[162],"achieved":[164],"AUC":[166],"0.81":[168],"Balanced":[171],"Accuracy":[172],"0.72,":[174],"validating":[175],"effectiveness":[177],"approach.":[180],"Crucially,":[181],"interpretability":[183],"analysis":[184],"revealed":[185],"learned":[189],"focus":[191],"on":[192],"clinically-relevant":[193],"risk":[194],"factors,":[195],"providing":[196],"transparent":[197],"plausible":[199],"justifications":[200],"predictions.":[203],"research":[205],"confirms":[206],"highly":[212],"effective":[213],"methodology":[214],"adapting":[216],"LLMs":[217],"sensitive,":[219],"imbalanced":[220],"tasks.":[223],"proposed":[225],"approach":[226],"presents":[227],"robust,":[229],"interpretable,":[230],"adaptable":[232],"solution":[233],"well-suited":[234],"demands":[237],"low-resource":[239],"environments.":[241]},"counts_by_year":[],"updated_date":"2026-04-09T08:11:56.329763","created_date":"2026-01-30T00:00:00"}
