D3 三谷知広氏が日本医療情報学会第3回学術論文賞 最優秀論文賞を受賞しました。
三谷知広, 土井俊祐, 横田慎一郎, 今井健, 大江和彦．
Highly accurate and explainable detection of specimen mix-up using a machine learning model.
Clinical Chemistry and Laboratory Medicine(CCLM), 2019; 58(3): 375-383.
http://jami.jp/award/acaPaperAward2020.html
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Department of Biomedical Informatics, Graduate School of Medicine, The University of TokyoDepartment of Healthcare Information Systems, The University of TokyoDepartment of Healthcare Information Management, The University of Tokyo Hospital |
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