{"created":"2025-01-19T01:29:40.597724+00:00","updated":"2025-01-19T11:17:10.815339+00:00","metadata":{"_oai":{"id":"oai:ipsj.ixsq.nii.ac.jp:00230111","sets":["6504:11436:11440"]},"path":["11440"],"owner":"44499","recid":"230111","title":["健康診断データによる動脈硬化指数の予測"],"pubdate":{"attribute_name":"公開日","attribute_value":"2023-02-16"},"_buckets":{"deposit":"173572be-cada-4b5d-9911-f06534c12aad"},"_deposit":{"id":"230111","pid":{"type":"depid","value":"230111","revision_id":0},"owners":[44499],"status":"published","created_by":44499},"item_title":"健康診断データによる動脈硬化指数の予測","author_link":["619076","619074","619075"],"item_titles":{"attribute_name":"タイトル","attribute_value_mlt":[{"subitem_title":"健康診断データによる動脈硬化指数の予測"}]},"item_keyword":{"attribute_name":"キーワード","attribute_value_mlt":[{"subitem_subject":"人工知能と認知科学","subitem_subject_scheme":"Other"}]},"item_type_id":"22","publish_date":"2023-02-16","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":"横浜国大"},{"subitem_text_value":"滋賀医大"},{"subitem_text_value":"横浜国大"}]},"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/230111/files/IPSJ-Z85-5U-08.pdf","label":"IPSJ-Z85-5U-08.pdf"},"date":[{"dateType":"Available","dateValue":"2023-11-17"}],"format":"application/pdf","filename":"IPSJ-Z85-5U-08.pdf","filesize":[{"value":"396.4 kB"}],"mimetype":"application/pdf","accessrole":"open_date","version_id":"48df891e-9718-46e4-8ab5-d50f76797c09","displaytype":"detail","licensetype":"license_note","license_note":"Copyright (c) 2023 by the Information Processing Society of Japan"}]},"item_22_creator_5":{"attribute_name":"著者名","attribute_type":"creator","attribute_value_mlt":[{"creatorNames":[{"creatorName":"松原, 享佑"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"矢野, 裕一朗"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"長尾, 智晴"}],"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":"心筋梗塞や脳卒中などの疾患を未然に防ぐため，それらの疾患に繋がる動脈硬化の進行度を予測することに需要がある．動脈硬化の指数であるCAVI には検査義務がないため，個人で検査を受けない限り動脈硬化の進行度を算出できない，また地方によっては検査を受けにくいなどの問題がある．本研究では，多くの人が日常的に取得可能な生体データである健康診断データから，機械学習の手法を用いて CAVI の予測を行う．予測結果は追加検査や治療などの意思決定に用いられるため，CAVI の値を直接予測するだけでなく，範囲と確率を多段的に示すことで利用者の次の行動に繋げられる手法の構築を目指す．","subitem_description_type":"Other"}]},"item_22_biblio_info_10":{"attribute_name":"書誌情報","attribute_value_mlt":[{"bibliographicPageEnd":"642","bibliographic_titles":[{"bibliographic_title":"第85回全国大会講演論文集"}],"bibliographicPageStart":"641","bibliographicIssueDates":{"bibliographicIssueDate":"2023-02-16","bibliographicIssueDateType":"Issued"},"bibliographicIssueNumber":"1","bibliographicVolumeNumber":"2023"}]},"relation_version_is_last":true,"weko_creator_id":"44499"},"id":230111,"links":{}}