{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,29]],"date-time":"2025-03-29T17:26:16Z","timestamp":1743269176448},"reference-count":0,"publisher":"IOS Press","isbn-type":[{"value":"9781643683881","type":"print"},{"value":"9781643683898","type":"electronic"}],"license":[{"start":{"date-parts":[[2023,5,18]],"date-time":"2023-05-18T00:00:00Z","timestamp":1684368000000},"content-version":"unspecified","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by-nc\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2023,5,18]]},"abstract":"<jats:p>Predicting important outcomes in patients with complex medical conditions using multimodal electronic medical records remains challenge. We trained a machine learning model to predict the inpatient prognosis of cancer patients using EMR data with Japanese clinical text records, which has been considered difficult due to its high context. We confirmed high accuracy of the mortality prediction model using clinical text in addition to other clinical data, suggesting applicability of this method to cancer.<\/jats:p>","DOI":"10.3233\/shti230276","type":"book-chapter","created":{"date-parts":[[2023,5,19]],"date-time":"2023-05-19T08:47:42Z","timestamp":1684486062000},"source":"Crossref","is-referenced-by-count":1,"title":["In-Hospital Cancer Mortality Prediction by Multimodal Learning of Non-English Clinical Texts"],"prefix":"10.3233","author":[{"given":"Shintaro","family":"Oyama","sequence":"first","affiliation":[{"name":"Innovative Research Center for Preventive Medical Engineering, Nagoya University, Nagoya, Japan"}]},{"given":"Taiki","family":"Furukawa","sequence":"additional","affiliation":[{"name":"Nagoya University Hospital Medical IT Center, Nagoya University, Nagoya, Japan"}]},{"given":"Shotaro","family":"Misawa","sequence":"additional","affiliation":[{"name":"FUJIFILM Corporation, Tokyo, Japan"}]},{"given":"Ryuji","family":"Kano","sequence":"additional","affiliation":[{"name":"FUJIFILM Corporation, Tokyo, Japan"}]},{"given":"Hirokazu","family":"Yarimizu","sequence":"additional","affiliation":[{"name":"FUJIFILM Corporation, Tokyo, Japan"}]},{"given":"Tomoki","family":"Taniguchi","sequence":"additional","affiliation":[{"name":"FUJIFILM Corporation, Tokyo, Japan"}]},{"given":"Kohei","family":"Onoda","sequence":"additional","affiliation":[{"name":"FUJIFILM Corporation, Tokyo, Japan"}]},{"given":"Kikue","family":"Sato","sequence":"additional","affiliation":[{"name":"Nagoya University Hospital Medical IT Center, Nagoya University, Nagoya, Japan"}]},{"given":"Yoshimune","family":"Shiratori","sequence":"additional","affiliation":[{"name":"Nagoya University Hospital Medical IT Center, Nagoya University, Nagoya, Japan"}]}],"member":"7437","container-title":["Studies in Health Technology and Informatics","Caring is Sharing \u2013 Exploiting the Value in Data for Health and Innovation"],"original-title":[],"link":[{"URL":"https:\/\/ebooks.iospress.nl\/pdf\/doi\/10.3233\/SHTI230276","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,5,31]],"date-time":"2023-05-31T15:01:55Z","timestamp":1685545315000},"score":1,"resource":{"primary":{"URL":"https:\/\/ebooks.iospress.nl\/doi\/10.3233\/SHTI230276"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,5,18]]},"ISBN":["9781643683881","9781643683898"],"references-count":0,"URL":"https:\/\/doi.org\/10.3233\/shti230276","relation":{},"ISSN":["0926-9630","1879-8365"],"issn-type":[{"value":"0926-9630","type":"print"},{"value":"1879-8365","type":"electronic"}],"subject":[],"published":{"date-parts":[[2023,5,18]]}}}