Machine Learning for Healthcare: On the Verge of a Major Shift in Healthcare Epidemiology-Reference-Cited by-同舟云学术

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Machine Learning for Healthcare: On the Verge of a Major Shift in Healthcare Epidemiology

Published:2017-08-21 Issue:1 Volume:66 Page:149-153
ISSN:1058-4838
Container-title:Clinical Infectious Diseases
language:en
Short-container-title:

Author:

Wiens Jenna¹,Shenoy Erica S²³⁴

Affiliation:

1. Computer Science and Engineering, University of Michigan, Ann Arbor

2. Infection Control Unit, Boston, Massachusetts

3. Division of Infectious Diseases, Department of Medicine, Massachusetts General Hospital, Boston, Massachusetts

4. Harvard Medical School, Boston, Massachusetts

Funder

National Institutes of Health

NIAID

National Science Foundation

Publisher

Oxford University Press (OUP)

Subject

Infectious Diseases,Microbiology (medical)

Link

http://academic.oup.com/cid/article-pdf/66/1/149/24265881/cix731.pdf

Reference47 articles.

1. Guidance for infection prevention and healthcare epidemiology programs: healthcare epidemiologist skills and competencies;Kaye;Infect Control Hosp Epidemiol,2015

2. Big data in health care: using analytics to identify and manage high-risk and high-cost patients;Bates;Health Aff (Millwood),2014

3. He K , ZhangX, RenS, SunJ. Delving deep into rectifiers: surpassing human-level performance on imagenet classification. In IEEE International Conference on Computer Vision (ICCV) 2015. 2015.

4. He K , ZhangX, RenS, SunJ. Deep residual learning for image recognition. In Computer Vision and Pattern Recognition (CVPR), 2016 IEEE Conference on. 2016.

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