文献
J-GLOBAL ID:202002263204902502
整理番号:20A0289002
外科学習曲線を予測するための機械学習アプローチ【JST・京大機械翻訳】
A machine learning approach to predict surgical learning curves
著者 (10件):
Gao Yuanyuan
(Center for Modeling, Simulation and Imaging in Medicine, Rensselaer Polytechnic Institute, Troy, NY)
,
Kruger Uwe
(Center for Modeling, Simulation and Imaging in Medicine, Rensselaer Polytechnic Institute, Troy, NY)
,
Kruger Uwe
(Department of Biomedical Engineering, Rensselaer Polytechnic Institute, Troy, NY)
,
Intes Xavier
(Center for Modeling, Simulation and Imaging in Medicine, Rensselaer Polytechnic Institute, Troy, NY)
,
Intes Xavier
(Department of Biomedical Engineering, Rensselaer Polytechnic Institute, Troy, NY)
,
Schwaitzberg Steven
(Jacobs School of Medicine and Biomedical Sciences, The State University of New York, Buffalo, NY)
,
Schwaitzberg Steven
(Department of Surgery, The State University of New York, Buffalo, NY)
,
Schwaitzberg Steven
(Buffalo General Hospital, NY)
,
De Suvranu
(Center for Modeling, Simulation and Imaging in Medicine, Rensselaer Polytechnic Institute, Troy, NY)
,
De Suvranu
(Department of Biomedical Engineering, Rensselaer Polytechnic Institute, Troy, NY)
資料名:
Surgery
(Surgery)
巻:
167
号:
2
ページ:
321-327
発行年:
2020年
JST資料番号:
C0796B
ISSN:
0039-6060
資料種別:
逐次刊行物 (A)
記事区分:
原著論文
発行国:
オランダ (NLD)
言語:
英語 (EN)