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

JAMA network open

Volumn 1, Issue 3, 2018, Pages e180926-

  Elfiky, Aymen A ^a,b,c   Pany, Maximilian J ^b,c   Parikh, Ravi B ^d,e   Obermeyer, Ziad ^b,c  

^a DANA FARBER CANCER INSTITUTE   (United States)

^b BRIGHAM AND WOMEN S HOSPITAL   (United States)

^c HARVARD MEDICAL SCHOOL   (United States)

^d UNIVERSITY OF PENNSYLVANIA   (United States)

^e UNIVERSITY OF PENNSYLVANIA   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

COHORT ANALYSIS; FEMALE; HUMAN; MACHINE LEARNING; MALE; MIDDLE AGED; MORTALITY; NEOPLASM; PROCEDURES; PROGNOSIS; RETROSPECTIVE STUDY; RISK ASSESSMENT; TIME FACTOR; VALIDATION STUDY;

COHORT STUDIES; FEMALE; HUMANS; MACHINE LEARNING; MALE; MIDDLE AGED; NEOPLASMS; PROGNOSIS; RETROSPECTIVE STUDIES; RISK ASSESSMENT; TIME FACTORS;

EID: 85065321567     PISSN: None     EISSN: 25743805     Source Type: Journal    
DOI: 10.1001/jamanetworkopen.2018.0926     Document Type: Article

References (0)