Development and Application of a Machine Learning Approach to Assess Short-term Mortality Risk Among Patients With Cancer Starting Chemotherapy-Reference-Cited by-同舟云学术

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Development and Application of a Machine Learning Approach to Assess Short-term Mortality Risk Among Patients With Cancer Starting Chemotherapy

Published:2018-07-27 Issue:3 Volume:1 Page:e180926
ISSN:2574-3805
Container-title:JAMA Network Open
language:en
Short-container-title:JAMA Netw Open

Author:

Elfiky Aymen A.¹²³,Pany Maximilian J.²³,Parikh Ravi B.⁴⁵,Obermeyer Ziad²³

Affiliation:

1. Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, Massachusetts

2. Brigham and Women’s Hospital, Boston, Massachusetts

3. Harvard Medical School, Boston, Massachusetts

4. Division of Hematology and Oncology, Perelman School of Medicine, University of Philadelphia, Philadelphia, Pennsylvania

5. Leonard Davis Institute of Health Economics, Philadelphia, Pennsylvania

Publisher

American Medical Association (AMA)

Subject

General Medicine

Link

http:///jamanetworkopen/article-pdf/1/3/e180926/17322789/elfiky_2018_oi_180067.pdf

Reference45 articles.

1. Chemotherapy use among Medicare beneficiaries at the end of life.;Emanuel;Ann Intern Med,2003

2. Trends in the aggressiveness of cancer care near the end of life.;Earle;J Clin Oncol,2004

3. Aggressiveness of cancer care near the end of life: is it a quality-of-care issue?;Earle;J Clin Oncol,2008

4. The effect on survival of continuing chemotherapy to near death.;Saito;BMC Palliat Care,2011

5. Chemotherapy use, performance status, and quality of life at the end of life.;Prigerson;JAMA Oncol,2015

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