Data‐driven discovery of probable Alzheimer's disease and related dementia subphenotypes using electronic health records-Reference-Cited by-同舟云学术

Data‐driven discovery of probable Alzheimer's disease and related dementia subphenotypes using electronic health records

Published:2020-09-10 Issue:4 Volume:4 Page:
ISSN:2379-6146
Container-title:Learning Health Systems
language:en
Short-container-title:Learn Health Sys

Author:

Xu Jie¹^ORCID,Wang Fei¹,Xu Zhenxing¹,Adekkanattu Prakash²,Brandt Pascal³^ORCID,Jiang Guoqian⁴,Kiefer Richard C.⁴,Luo Yuan⁵,Mao Chengsheng⁵,Pacheco Jennifer A.⁵,Rasmussen Luke V.⁵,Zhang Yiye¹,Isaacson Richard¹,Pathak Jyotishman¹

Affiliation:

1. Department of Population Health Sciences Information Technologies and Services, Weill Cornell Medicine New York New York USA

2. Information Technologies and Services, Weill Cornell Medicine New York New York USA

3. Biomedical Informatics and Medical Education University of Washington Seattle Washington USA

4. Department of Health Sciences Research Mayo Clinic Rochester Minnesota USA

5. Feinberg School of Medicine Northwestern University Chicago Illinois USA

Funder

National Institute of General Medical Sciences

National Institute of Mental Health

Publisher

Wiley

Subject

Health Information Management,Public Health, Environmental and Occupational Health,Health Informatics

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/lrh2.10246

Reference29 articles.

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3. The diagnosis, burden and prognosis of dementia: A record-linkage cohort study in England

4. Identity and perceptions of quality of life in Alzheimer's disease;Manson A;Appl Nurs Res,2019

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