{"created":"2025-01-19T01:46:14.633604+00:00","updated":"2025-01-19T07:37:14.520402+00:00","metadata":{"_oai":{"id":"oai:ipsj.ixsq.nii.ac.jp:00241564","sets":["1164:3368:11473:11811"]},"path":["11811"],"owner":"44499","recid":"241564","title":["Enhancing Depression Assessment with a Comprehensive Method for Heterogeneous Data"],"pubdate":{"attribute_name":"公開日","attribute_value":"2024-12-07"},"_buckets":{"deposit":"e15f00e8-1bb2-4007-8dbe-bab2d4e84822"},"_deposit":{"id":"241564","pid":{"type":"depid","value":"241564","revision_id":0},"owners":[44499],"status":"published","created_by":44499},"item_title":"Enhancing Depression Assessment with a Comprehensive Method for Heterogeneous Data","author_link":["665288","665289"],"item_titles":{"attribute_name":"タイトル","attribute_value_mlt":[{"subitem_title":"Enhancing Depression Assessment with a Comprehensive Method for Heterogeneous Data"},{"subitem_title":"Enhancing Depression Assessment with a Comprehensive Method for Heterogeneous Data","subitem_title_language":"en"}]},"item_type_id":"4","publish_date":"2024-12-07","item_4_text_3":{"attribute_name":"著者所属","attribute_value_mlt":[{"subitem_text_value":"Donghua University"}]},"item_4_text_4":{"attribute_name":"著者所属(英)","attribute_value_mlt":[{"subitem_text_value":"Donghua University","subitem_text_language":"en"}]},"item_language":{"attribute_name":"言語","attribute_value_mlt":[{"subitem_language":"eng"}]},"item_publisher":{"attribute_name":"出版者","attribute_value_mlt":[{"subitem_publisher":"情報処理学会","subitem_publisher_language":"ja"}]},"publish_status":"0","weko_shared_id":-1,"item_file_price":{"attribute_name":"Billing file","attribute_type":"file","attribute_value_mlt":[{"url":{"url":"https://ipsj.ixsq.nii.ac.jp/record/241564/files/IPSJ-IS24170003.pdf","label":"IPSJ-IS24170003.pdf"},"date":[{"dateType":"Available","dateValue":"2026-12-07"}],"format":"application/pdf","billing":["billing_file"],"filename":"IPSJ-IS24170003.pdf","filesize":[{"value":"797.1 kB"}],"mimetype":"application/pdf","priceinfo":[{"tax":["include_tax"],"price":"660","billingrole":"5"},{"tax":["include_tax"],"price":"330","billingrole":"6"},{"tax":["include_tax"],"price":"0","billingrole":"38"},{"tax":["include_tax"],"price":"0","billingrole":"44"}],"accessrole":"open_date","version_id":"8d17650e-9633-4c32-8f82-065bb57e6bc4","displaytype":"detail","licensetype":"license_note","license_note":"Copyright (c) 2024 by the Information Processing Society of Japan"}]},"item_4_creator_5":{"attribute_name":"著者名","attribute_type":"creator","attribute_value_mlt":[{"creatorNames":[{"creatorName":"Ruijia, Yan"}],"nameIdentifiers":[{}]}]},"item_4_creator_6":{"attribute_name":"著者名(英)","attribute_type":"creator","attribute_value_mlt":[{"creatorNames":[{"creatorName":"Ruijia, Yan","creatorNameLang":"en"}],"nameIdentifiers":[{}]}]},"item_4_source_id_9":{"attribute_name":"書誌レコードID","attribute_value_mlt":[{"subitem_source_identifier":"AA11253943","subitem_source_identifier_type":"NCID"}]},"item_4_textarea_12":{"attribute_name":"Notice","attribute_value_mlt":[{"subitem_textarea_value":"SIG Technical Reports are nonrefereed and hence may later appear in any journals, conferences, symposia, etc."}]},"item_resource_type":{"attribute_name":"資源タイプ","attribute_value_mlt":[{"resourceuri":"http://purl.org/coar/resource_type/c_18gh","resourcetype":"technical report"}]},"item_4_source_id_11":{"attribute_name":"ISSN","attribute_value_mlt":[{"subitem_source_identifier":"2188-8809","subitem_source_identifier_type":"ISSN"}]},"item_4_description_7":{"attribute_name":"論文抄録","attribute_value_mlt":[{"subitem_description":"In recent years, mental health issues like depression have become a global concern, making accurate evaluation of depression severity essential for effective treatment. Traditional scales rely on single numeric values, which may not capture the uncertainty caused by the subjective and fluctuating nature of mental health symptoms, leading to inconsistencies. This paper introduces a novel method enabling clinicians to record symptoms using heterogeneous data, including quantitative (crisp numbers, intervals) and qualitative data (linguistic terms). Additionally, a linguistic scale algorithm is employed to model the linguistic term sets, converting each symptom into a cloud model characterized by three numeric features. Aggregating these models allows for a comprehensive evaluation of both depression severity and the associated uncertainty levels. This approach enhances diagnostic accuracy and reliability in mental health care.","subitem_description_type":"Other"}]},"item_4_description_8":{"attribute_name":"論文抄録(英)","attribute_value_mlt":[{"subitem_description":"In recent years, mental health issues like depression have become a global concern, making accurate evaluation of depression severity essential for effective treatment. Traditional scales rely on single numeric values, which may not capture the uncertainty caused by the subjective and fluctuating nature of mental health symptoms, leading to inconsistencies. This paper introduces a novel method enabling clinicians to record symptoms using heterogeneous data, including quantitative (crisp numbers, intervals) and qualitative data (linguistic terms). Additionally, a linguistic scale algorithm is employed to model the linguistic term sets, converting each symptom into a cloud model characterized by three numeric features. Aggregating these models allows for a comprehensive evaluation of both depression severity and the associated uncertainty levels. This approach enhances diagnostic accuracy and reliability in mental health care.","subitem_description_type":"Other"}]},"item_4_biblio_info_10":{"attribute_name":"書誌情報","attribute_value_mlt":[{"bibliographicPageEnd":"5","bibliographic_titles":[{"bibliographic_title":"研究報告情報システムと社会環境(IS)"}],"bibliographicPageStart":"1","bibliographicIssueDates":{"bibliographicIssueDate":"2024-12-07","bibliographicIssueDateType":"Issued"},"bibliographicIssueNumber":"3","bibliographicVolumeNumber":"2024-IS-170"}]},"relation_version_is_last":true,"weko_creator_id":"44499"},"id":241564,"links":{}}