文献
J-GLOBAL ID:201902285170358271
整理番号:19A2336531
尿路感染症の検出を損なわない診断作業負荷を低減するための人工知能の使用【JST・京大機械翻訳】
Using artificial intelligence to reduce diagnostic workload without compromising detection of urinary tract infections
著者 (6件):
Burton Ross J.
(Department of Infection Sciences, Severn Pathology, Bristol, UK)
,
Burton Ross J.
(Division of Infection and Immunity, School of Medicine, Cardiff University, Cardiff, UK)
,
Albur Mahableshwar
(Department of Infection Sciences, Severn Pathology, Bristol, UK)
,
Eberl Matthias
(Division of Infection and Immunity, School of Medicine, Cardiff University, Cardiff, UK)
,
Eberl Matthias
(Systems Immunity Research Institute, Cardiff University, Cardiff, UK)
,
Cuff Simone M.
(Division of Infection and Immunity, School of Medicine, Cardiff University, Cardiff, UK)
資料名:
BMC Medical Informatics and Decision Making (Web)
(BMC Medical Informatics and Decision Making (Web))
巻:
19
号:
1
ページ:
1-11
発行年:
2019年
JST資料番号:
U7433A
ISSN:
1472-6947
資料種別:
逐次刊行物 (A)
記事区分:
原著論文
発行国:
イギリス (GBR)
言語:
英語 (EN)