{"created":"2023-07-25T08:14:45.193216+00:00","id":15891,"links":{},"metadata":{"_buckets":{"deposit":"9ff98f50-7ddc-4f1a-aca9-2af60d7aafb7"},"_deposit":{"created_by":18,"id":"15891","owners":[18],"pid":{"revision_id":0,"type":"depid","value":"15891"},"status":"published"},"_oai":{"id":"oai:ir.kagoshima-u.ac.jp:00015891","sets":["57:86"]},"author_link":["139623"],"item_5_date_6":{"attribute_name":"作成日","attribute_value_mlt":[{"subitem_date_issued_datetime":"2021-07-09","subitem_date_issued_type":"Collected"}]},"item_5_date_granted_54":{"attribute_name":"学位授与年月日 ","attribute_value_mlt":[{"subitem_dategranted":"2021-07-15"}]},"item_5_degree_grantor_53":{"attribute_name":"学位授与機関","attribute_value_mlt":[{"subitem_degreegrantor":[{"subitem_degreegrantor_language":"ja","subitem_degreegrantor_name":"鹿児島大学"}],"subitem_degreegrantor_identifier":[{"subitem_degreegrantor_identifier_name":"17701","subitem_degreegrantor_identifier_scheme":"kakenhi"}]}]},"item_5_degree_name_42":{"attribute_name":"学位名","attribute_value_mlt":[{"subitem_degreename":"博士(医学)","subitem_degreename_language":"ja"},{"subitem_degreename":"Doctor of Philosophy in Medical Science","subitem_degreename_language":"en"}]},"item_5_description_17":{"attribute_name":"ファイル（説明）","attribute_value_mlt":[{"subitem_description":"博士論文全文, 博士論文要旨, 最終試験結果の要旨, 論文審査の要旨","subitem_description_language":"ja","subitem_description_type":"Other"}]},"item_5_description_4":{"attribute_name":"要約(Abstract)","attribute_value_mlt":[{"subitem_description":"Nursing records are an account of patient condition and treatment during their hospital stay. In this study, we developed a system that can automatically analyze nursing records to predict the occurrence of diseases and incidents (e.g., falls). Text vectorization was performed for nursing records and compared with past case data on aspiration pneumonia, to develop an onset prediction system. Nursing records for a patient group that developed aspiration pneumonia during hospitalization and a non-onset control group were randomly assigned to definitive diagnostic (for learning), preliminary survey, and test datasets. Data from the preliminary survey were used to adjust parameters and influencing factors. The final verification used the test data and revealed the highest compatibility to predict the onset of aspiration pneumonia (sensitivity = 90.9%, specificity = 60.3%) with the parameter values of size = 80 (number of dimensions of the sentence vector), window = 13 (number of words before and after the learned word), and min_count = 2 (threshold of wordcount for word to be included). This method represents the foundation for a discovery/warning system using machine-based automated monitoring to predict the onset of diseases and prevent adverse incidents such as falls.\n\nShotaro Komaki, Fuminori Muranaga, Yumiko Uto, Takashi Iwaanakuchi, Ichiro Kumamoto\nSupporting the Early Detection of Disease Onset and Change Using Document Vector Analysis of Nursing Observation Records\nEvaluation & the Health Professions 2021\nhttps://doi.org/10.1177/01632787211014270","subitem_description_language":"en","subitem_description_type":"Other"}]},"item_5_dissertation_number_55":{"attribute_name":"学位授与番号","attribute_value_mlt":[{"subitem_dissertationnumber":"甲総研第614号"}]},"item_5_publisher_23":{"attribute_name":"公開者・出版者","attribute_value_mlt":[{"subitem_publisher":"SAGE Journals","subitem_publisher_language":"en"},{"subitem_publisher":"鹿児島大学","subitem_publisher_language":"ja"},{"subitem_publisher":"カゴシマ ダイガク","subitem_publisher_language":"ja-Kana"}]},"item_5_subject_15":{"attribute_name":"NDC","attribute_value_mlt":[{"subitem_subject":"490","subitem_subject_scheme":"NDC"}]},"item_5_text_44":{"attribute_name":"備考","attribute_value_mlt":[{"subitem_text_value":"【指導教員:橋口照人 , 宇都由美子】"}]},"item_5_text_47":{"attribute_name":"date.appl","attribute_value_mlt":[{"subitem_text_value":"【学位申請日】2021-05-06"}]},"item_5_version_type_14":{"attribute_name":"著者版フラグ","attribute_value_mlt":[{"subitem_version_resource":"http://purl.org/coar/version/c_970fb48d4fbd8a85","subitem_version_type":"VoR"}]},"item_access_right":{"attribute_name":"アクセス権","attribute_value_mlt":[{"subitem_access_right":"open access","subitem_access_right_uri":"http://purl.org/coar/access_right/c_abf2"}]},"item_creator":{"attribute_name":"著者","attribute_type":"creator","attribute_value_mlt":[{"creatorNames":[{"creatorName":"小牧, 祥太郎","creatorNameLang":"ja"},{"creatorName":"コマキ, ショウタロウ","creatorNameLang":"ja-Kana"},{"creatorName":"Komaki, Syuotarou","creatorNameLang":"en"}],"nameIdentifiers":[{}]}]},"item_files":{"attribute_name":"ファイル情報","attribute_type":"file","attribute_value_mlt":[{"accessrole":"open_date","date":[{"dateType":"Available","dateValue":"2021-08-26"}],"displaytype":"detail","filename":"Diss_小牧_祥太郎_ISK614_2021.pdf","filesize":[{"value":"191.7 kB"}],"format":"application/pdf","licensetype":"license_note","mimetype":"application/pdf","url":{"label":"Diss_小牧_祥太郎_ISK614_2021","objectType":"fulltext","url":"https://ir.kagoshima-u.ac.jp/record/15891/files/Diss_小牧_祥太郎_ISK614_2021.pdf"},"version_id":"083b7ccc-7796-4098-ad71-e06d2e79082a"},{"accessrole":"open_date","date":[{"dateType":"Available","dateValue":"2021-08-26"}],"displaytype":"detail","filename":"Abstract_小牧_祥太郎_4515800057_2021.pdf","filesize":[{"value":"150.8 kB"}],"format":"application/pdf","licensetype":"license_note","mimetype":"application/pdf","url":{"label":"Abstract_小牧_祥太郎_4515800057_2021","objectType":"abstract","url":"https://ir.kagoshima-u.ac.jp/record/15891/files/Abstract_小牧_祥太郎_4515800057_2021.pdf"},"version_id":"4f705207-ddc7-497a-ae4d-82c2659698e1"},{"accessrole":"open_date","date":[{"dateType":"Available","dateValue":"2021-08-19"}],"displaytype":"detail","filename":"Result_komaki_syuotarou_isk_614.pdf","filesize":[{"value":"846.6 kB"}],"format":"application/pdf","licensetype":"license_note","mimetype":"application/pdf","url":{"label":"Result_komaki_syuotarou_isk_614","objectType":"other","url":"https://ir.kagoshima-u.ac.jp/record/15891/files/Result_komaki_syuotarou_isk_614.pdf"},"version_id":"de0e5382-fed7-4c6e-b217-a38ad6534b89"},{"accessrole":"open_date","date":[{"dateType":"Available","dateValue":"2021-08-19"}],"displaytype":"detail","filename":"Comments_komaki_syoutarou_isk_614.pdf","filesize":[{"value":"422.3 kB"}],"format":"application/pdf","licensetype":"license_note","mimetype":"application/pdf","url":{"label":"Comments_komaki_syoutarou_isk_614","objectType":"other","url":"https://ir.kagoshima-u.ac.jp/record/15891/files/Comments_komaki_syoutarou_isk_614.pdf"},"version_id":"55ac6dd7-8451-4591-b67b-2a3faf695008"}]},"item_keyword":{"attribute_name":"キーワード","attribute_value_mlt":[{"subitem_subject":"Narrative Medicine","subitem_subject_language":"en","subitem_subject_scheme":"Other"},{"subitem_subject":"Patient Safety","subitem_subject_language":"en","subitem_subject_scheme":"Other"},{"subitem_subject":"Aspiration Pneumonia","subitem_subject_language":"en","subitem_subject_scheme":"Other"},{"subitem_subject":"Machine Learning","subitem_subject_language":"en","subitem_subject_scheme":"Other"},{"subitem_subject":"Natural Language Processing","subitem_subject_language":"en","subitem_subject_scheme":"Other"}]},"item_language":{"attribute_name":"言語","attribute_value_mlt":[{"subitem_language":"eng"}]},"item_resource_type":{"attribute_name":"資源タイプ","attribute_value_mlt":[{"resourcetype":"doctoral thesis","resourceuri":"http://purl.org/coar/resource_type/c_db06"}]},"item_title":"Supporting the early detection of disease onset and change using document vector analysis of nursing observation records","item_titles":{"attribute_name":"タイトル","attribute_value_mlt":[{"subitem_title":"Supporting the early detection of disease onset and change using document vector analysis of nursing observation records","subitem_title_language":"en"},{"subitem_title":"看護観察記録の文書ベクトル解析を用いた発症・変化の早期発見支援","subitem_title_language":"ja"}]},"item_type_id":"5","owner":"18","path":["86"],"pubdate":{"attribute_name":"PubDate","attribute_value":"2021-08-19"},"publish_date":"2021-08-19","publish_status":"0","recid":"15891","relation_version_is_last":true,"title":["Supporting the early detection of disease onset and change using document vector analysis of nursing observation records"],"weko_creator_id":"18","weko_shared_id":-1},"updated":"2024-01-09T02:04:57.147060+00:00"}