文献
J-GLOBAL ID:202202275944129487
整理番号:22A1090826
電子健康記録を用いた大うつ病性障害における治療抵抗性の高いリスクでの個人の効率的同定【JST・京大機械翻訳】
Efficiently identifying individuals at high risk for treatment resistance in major depressive disorder using electronic health records
著者 (6件):
Lage Isaac
(Harvard John A. Paulson School of Engineering and Applied Sciences, Harvard University, 29 Oxford Street, 1 Oxford St, Science Center, 316.04, Cambridge, MA 02138, USA)
,
McCoy Jr Thomas H.
(Center for Quantitative Health, Massachusetts General Hospital, 185 Cambridge Street, 6th Floor, Boston, MA 02114, USA)
,
McCoy Jr Thomas H.
(Harvard Medical School, 25 Shattuck Street, Boston, MA 02115, USA)
,
Perlis Roy H.
(Center for Quantitative Health, Massachusetts General Hospital, 185 Cambridge Street, 6th Floor, Boston, MA 02114, USA)
,
Perlis Roy H.
(Harvard Medical School, 25 Shattuck Street, Boston, MA 02115, USA)
,
Doshi-Velez Finale
(Harvard John A. Paulson School of Engineering and Applied Sciences, Harvard University, 29 Oxford Street, 1 Oxford St, Science Center, 316.04, Cambridge, MA 02138, USA)
資料名:
Journal of Affective Disorders
(Journal of Affective Disorders)
巻:
306
ページ:
254-259
発行年:
2022年
JST資料番号:
A1170A
ISSN:
0165-0327
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)