{"created":"2025-01-19T01:39:14.385051+00:00","updated":"2025-01-19T09:04:22.552963+00:00","metadata":{"_oai":{"id":"oai:ipsj.ixsq.nii.ac.jp:00236910","sets":["6504:11678:11684"]},"path":["11684"],"owner":"44499","recid":"236910","title":["Mini-Mental State Examination とクラスタリングを組み合わせた軽度認知障害の分類"],"pubdate":{"attribute_name":"公開日","attribute_value":"2024-03-01"},"_buckets":{"deposit":"740e8d5d-3070-4dd0-800a-f38c92435780"},"_deposit":{"id":"236910","pid":{"type":"depid","value":"236910","revision_id":0},"owners":[44499],"status":"published","created_by":44499},"item_title":"Mini-Mental State Examination とクラスタリングを組み合わせた軽度認知障害の分類","author_link":["647764","647765","647766"],"item_titles":{"attribute_name":"タイトル","attribute_value_mlt":[{"subitem_title":"Mini-Mental State Examination とクラスタリングを組み合わせた軽度認知障害の分類"}]},"item_keyword":{"attribute_name":"キーワード","attribute_value_mlt":[{"subitem_subject":"コンピュータと人間社会","subitem_subject_scheme":"Other"}]},"item_type_id":"22","publish_date":"2024-03-01","item_language":{"attribute_name":"言語","attribute_value_mlt":[{"subitem_language":"jpn"}]},"item_22_text_3":{"attribute_name":"著者所属","attribute_value_mlt":[{"subitem_text_value":"東理大"},{"subitem_text_value":"東理大"},{"subitem_text_value":"東理大"}]},"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/236910/files/IPSJ-Z86-6ZH-04.pdf","label":"IPSJ-Z86-6ZH-04.pdf"},"date":[{"dateType":"Available","dateValue":"2024-07-04"}],"format":"application/pdf","filename":"IPSJ-Z86-6ZH-04.pdf","filesize":[{"value":"428.1 kB"}],"mimetype":"application/pdf","accessrole":"open_date","version_id":"f37f6717-f6eb-43c3-98f5-71d4b96f9b11","displaytype":"detail","licensetype":"license_note","license_note":"Copyright (c) 2024 by the Information Processing Society of Japan"}]},"item_22_creator_5":{"attribute_name":"著者名","attribute_type":"creator","attribute_value_mlt":[{"creatorNames":[{"creatorName":"南, 遼佑"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"秦野, 亮"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"西山, 裕之"}],"nameIdentifiers":[{}]}]},"item_resource_type":{"attribute_name":"資源タイプ","attribute_value_mlt":[{"resourceuri":"http://purl.org/coar/resource_type/c_5794","resourcetype":"conference paper"}]},"item_22_source_id_9":{"attribute_name":"書誌レコードID","attribute_value_mlt":[{"subitem_source_identifier":"AN00349328","subitem_source_identifier_type":"NCID"}]},"item_22_description_7":{"attribute_name":"論文抄録","attribute_value_mlt":[{"subitem_description":"軽度認知症(MCI)患者の詳細な症状を簡単に把握できることは有用である.そこで,本研究は短時間で安価に認知症の重症度を診断するMini-Mental State Examinationと機械学習を組み合わせて,MCI患者をクラスタリングする手法を提案する.他研究と異なり,因子分析を行い,クラスタリング精度を向上させた.さらに,3つの観点より各クラスターを評価した.公開されているデータセットに対しクラスタリング実験を行った結果,3つのクラスターが発生し,それらは全てMCIに関する異なる特徴を反映していた.本研究の成果はMCI患者に対して適切なリハビリの提案等に応用可能と考えられる.","subitem_description_type":"Other"}]},"item_22_biblio_info_10":{"attribute_name":"書誌情報","attribute_value_mlt":[{"bibliographicPageEnd":"606","bibliographic_titles":[{"bibliographic_title":"第86回全国大会講演論文集"}],"bibliographicPageStart":"605","bibliographicIssueDates":{"bibliographicIssueDate":"2024-03-01","bibliographicIssueDateType":"Issued"},"bibliographicIssueNumber":"1","bibliographicVolumeNumber":"2024"}]},"relation_version_is_last":true,"weko_creator_id":"44499"},"id":236910,"links":{}}