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MULTILAYER PERCEPTRON BASED NETWORK TO IDENTIFY BASELINE ILLNESS RISK
MULTILAYER PERCEPTRON BASED NETWORK TO IDENTIFY BASELINE ILLNESS RISK
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机译:基于多层感知器的网络来识别基线疾病风险
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摘要
A method for training a baseline risk model, including: pre-processing input data by normalizing continuous variable inputs and producing one-hot input features for categorical variables; providing definitions for clean input data and dirty input data based upon various input data related to a patient condition; segmenting the input data into clean input data and dirty input data, wherein the clean input data includes a first subset and a second subset, where the first subset and the second subset include all of the clean input data and are disjoint; training a machine learning model using the first subset of the clean data; and evaluating the performance of the trained machine learning model using the second subset of the clean input data and the dirty input data.
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