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SYSTEM AND METHOD OF IDENTIFYING WHEN A PATIENT UNDERGOING HEMODIALYSIS IS AT INCREASED RISK OF DEATH BY A LOGISTIC REGRESSION MODEL
SYSTEM AND METHOD OF IDENTIFYING WHEN A PATIENT UNDERGOING HEMODIALYSIS IS AT INCREASED RISK OF DEATH BY A LOGISTIC REGRESSION MODEL
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机译:通过逻辑回归模型确定患者进行血液透析的死亡风险增加的系统和方法
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摘要
Identifying a patient undergoing periodic hemodialysis treatments at increased risk of death by a logistic regression model includes selecting one or more clinical or biochemical parameter parameters associated with a probability of death of the patient while the patient is undergoing periodic hemodialysis treatments, and estimating the probability of death of the patient over a future time interval by a logistic regression model including model coefficients, the model coefficients determined by analyzing data from deceased patients that were previously undergoing periodic hemodialysis treatments, the analysis including a longitudinal analysis backwards in time on the one or more clinical or biochemical parameters of the deceased patients. The patient is identified as having an increased risk of death if the probability of death of the patient is greater than a predetermined threshold probability.
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