{"created":"2025-01-19T01:38:02.699991+00:00","metadata":{"_oai":{"id":"oai:ipsj.ixsq.nii.ac.jp:00236150","sets":["6504:11678:11689"]},"path":["11689"],"owner":"44499","recid":"236150","title":["薬剤の印字および形状に着目した一包化錠剤の自動分類"],"pubdate":{"attribute_name":"公開日","attribute_value":"2024-03-01"},"_buckets":{"deposit":"8a8def89-57db-42a0-8850-0bd8b15e94bf"},"_deposit":{"id":"236150","pid":{"type":"depid","value":"236150","revision_id":0},"owners":[44499],"status":"published","created_by":44499},"item_title":"薬剤の印字および形状に着目した一包化錠剤の自動分類","author_link":["645410","645409","645412","645413","645408","645411"],"item_titles":{"attribute_name":"タイトル","attribute_value_mlt":[{"subitem_title":"薬剤の印字および形状に着目した一包化錠剤の自動分類"}]},"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":"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":"秋田大"},{"subitem_text_value":"秋田大"},{"subitem_text_value":"秋田大学医学部附属病院"},{"subitem_text_value":"秋田大学医学部附属病院"},{"subitem_text_value":"秋田大学医学部附属病院"},{"subitem_text_value":"秋田大"}]},"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/236150/files/IPSJ-Z86-6T-02.pdf","label":"IPSJ-Z86-6T-02.pdf"},"date":[{"dateType":"Available","dateValue":"2024-07-03"}],"format":"application/pdf","filename":"IPSJ-Z86-6T-02.pdf","filesize":[{"value":"247.5 kB"}],"mimetype":"application/pdf","accessrole":"open_date","version_id":"a73cd0d2-a19c-41de-bc09-998c9d394a34","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":"巽, 修英"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"敏, 鄒"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"佐々木, 克也"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"加賀谷, 英彰"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"藤山, 信弘"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"景山, 陽一"}],"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":"服薬管理の手法である一包化は，薬剤の管理を容易にするために，高齢者や小児などに利用されている．しかしながら，誤調剤の報告があり，薬剤の取り違えによる重篤な医療事故の発生が懸念されている．一包化された複数の薬剤には，類似の色調や形状を含むことが多く，医療インシデントに係わる潜在的なリスクが存在しており，重篤な事故につながる危険性がある．多くの薬剤分類手法は機械学習を用いており，大規模なデータセットの使用によるコストの高さが課題である．そこで本研究では，大規模なデータセットに依存しないシステムの構築を目的とする．本稿では，薬剤の印字の類似度および薬剤の形状に着目した薬剤分類方法の検討を行った．","subitem_description_type":"Other"}]},"item_22_biblio_info_10":{"attribute_name":"書誌情報","attribute_value_mlt":[{"bibliographicPageEnd":"628","bibliographic_titles":[{"bibliographic_title":"第86回全国大会講演論文集"}],"bibliographicPageStart":"627","bibliographicIssueDates":{"bibliographicIssueDate":"2024-03-01","bibliographicIssueDateType":"Issued"},"bibliographicIssueNumber":"1","bibliographicVolumeNumber":"2024"}]},"relation_version_is_last":true,"weko_creator_id":"44499"},"id":236150,"updated":"2025-01-19T09:22:20.784253+00:00","links":{}}