Grid binary logistic regression (GLORE): Building shared models without sharing data

Journal of the American Medical Informatics Association

Volumn 19, Issue 5, 2012, Pages 758-764

  Wu, Yuan ^a   Jiang, Xiaoqian ^a   Kim, Jihoon ^a   Ohno Machado, Lucila ^a  

^a UNIVERSITY OF CALIFORNIA SAN DIEGO   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ACCURACY; ALGORITHM; ARTICLE; CALCULATION; COST; DISEASE CLASSIFICATION; GRID BINARY LOGISTIC REGRESSION MODEL; INFORMATION PROCESSING; INTERPERSONAL COMMUNICATION; LOGISTIC REGRESSION ANALYSIS; MODEL; PATIENT CODING; PREDICTION; PRIVACY; RECEIVER OPERATING CHARACTERISTIC; SIMULATION; AREA UNDER THE CURVE; AUTOMATED PATTERN RECOGNITION; COMPUTER SIMULATION; CONFIDENTIALITY; HUMAN; INFORMATION DISSEMINATION; MEDICAL RESEARCH; STATISTICAL MODEL;

AREA UNDER CURVE; BIOMEDICAL RESEARCH; COMPUTER SIMULATION; CONFIDENTIALITY; HUMANS; INFORMATION DISSEMINATION; LOGISTIC MODELS; PATTERN RECOGNITION, AUTOMATED; ROC CURVE;

EID: 84871482758     PISSN: 10675027     EISSN: 1527974X     Source Type: Journal    
DOI: 10.1136/amiajnl-2012-000862     Document Type: Article

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