文献
J-GLOBAL ID:201702280307856187
整理番号:17A1511506
2型糖尿病の心血管合併症を低減するための体重減少介入の標的化:Look AHEAD試験における不均一処理効果の機械学習ベースの事後分析【Powered by NICT】
Targeting weight loss interventions to reduce cardiovascular complications of type 2 diabetes: a machine learning-based post-hoc analysis of heterogeneous treatment effects in the Look AHEAD trial
著者 (7件):
Baum Aaron
(Department of Health System Design and Global Health, Arnhold Institute for Global Health, Icahn School of Medicine at Mount Sinai, New York, NY, USA)
,
Scarpa Joseph
(Department of Health System Design and Global Health, Arnhold Institute for Global Health, Icahn School of Medicine at Mount Sinai, New York, NY, USA)
,
Bruzelius Emilie
(Department of Health System Design and Global Health, Arnhold Institute for Global Health, Icahn School of Medicine at Mount Sinai, New York, NY, USA)
,
Bruzelius Emilie
(Department of Epidemiology, Joseph L Mailman School of Public Health, Columbia University, New York, NY, USA)
,
Tamler Ronald
(Division of Endocrinology, Diabetes, and Bone Disease, Icahn School of Medicine at Mount Sinai, New York, NY, USA)
,
Basu Sanjay
(Department of Medicine, Stanford University School of Medicine, Stanford, CA, USA)
,
Faghmous James
(Department of Health System Design and Global Health, Arnhold Institute for Global Health, Icahn School of Medicine at Mount Sinai, New York, NY, USA)
資料名:
Lancet Diabetes & Endocrinology
(Lancet Diabetes & Endocrinology)
巻:
5
号:
10
ページ:
808-815
発行年:
2017年
JST資料番号:
W3110A
ISSN:
2213-8587
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)