文献
J-GLOBAL ID:202202286498276812
整理番号:22A0982044
機械学習は難治性の過活動膀胱治療応答のための正確な予後モデルを提供し,ヒト専門家への非提供者である【JST・京大機械翻訳】
Machine learning provides an accurate prognostication model for refractory overactive bladder treatment response and is noninferior to human experts
著者 (5件):
Werneburg Glenn T.
(Department of Urology, Glickman Urological and Kidney Institute, Cleveland Clinic Foundation, Cleveland, Ohio, USA)
,
Werneburg Eric A.
(Department of Applied Mathematics and Statistics, Stony Brook University, Stony Brook, New York, USA)
,
Goldman Howard B.
(Department of Urology, Glickman Urological and Kidney Institute, Cleveland Clinic Foundation, Cleveland, Ohio, USA)
,
Mullhaupt Andrew P.
(Department of Applied Mathematics and Statistics, Stony Brook University, Stony Brook, New York, USA)
,
Vasavada Sandip P.
(Department of Urology, Glickman Urological and Kidney Institute, Cleveland Clinic Foundation, Cleveland, Ohio, USA)
資料名:
Neurourology and Urodynamics
(Neurourology and Urodynamics)
巻:
41
号:
3
ページ:
813-819
発行年:
2022年
JST資料番号:
W2696A
ISSN:
0733-2467
資料種別:
逐次刊行物 (A)
記事区分:
原著論文
発行国:
アメリカ合衆国 (USA)
言語:
英語 (EN)