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Methods for continuous prediction of patient illness severity, lethality and length of stay
Methods for continuous prediction of patient illness severity, lethality and length of stay
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机译:连续预测患者疾病严重性,致死率和住院时间的方法
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摘要
A method for predicting a patient's outcome variable, such as a probability of mortality/recovery, includes accessing at least one of a plurality past patients' data fields including physiological and/or laboratory data, and a time of stay indicating how long each patient had been under care at the time. An outcome variable estimation algorithm is generated by data mining from a plurality of past patients' physiological and/or laboratory data, corresponding time of stay, and associated outcome variables. A current patient's outcome variable is determined from the current patient's physiological and/or laboratory data, the current time of stay, and the outcome variable estimation algorithm.
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