关键词: 死亡预测, 逻辑回归, 机器学习, 重症监护室

Abstract: Through literature review, the basic concepts, procedures and common methods involved in the development of mortality prediction models are summarized. First, the sources of predictor variables and their corresponding screening approaches are discussed. Second, on the basis of the logistic regression model which is most familiar to clinicians, the basic framework and advantages and disadvantages of the neural network, decision tree and support vector machine are elaborated. Finally, the common metrics used to evaluate the performance of the model are described, as well as the way to validate the model.

Key words: mortality prediction, logistic regression, machine learning, Intensive Care Unit（ICU）