Patient Risk Assessment Based on Machine Learning of Health Risks of Patient Population

A computer program product comprising a computer readable storage medium having a computer readable program stored therein, wherein the computer readable program, when executed on a data processing system, causes the data processing system to:

• receive patient information for a plurality of patients in the patient population;
• perform a machine learning operation to train a risk scoring algorithm for scoring a risk of adverse conditions for the patient population using the patient information;
• determine, for each patient in the patient population, a risk score based on an application of the risk scoring algorithm to patient information for the patient;
• classify each patient into a risk classification category, in a plurality of risk classification categories, based on a risk score generated by the application of the risk scoring algorithm to the patient information for the patient;
• and
• generate an output indicating membership of patients in the plurality of risk classification categories.

An apparatus comprising:

• a processor;
• and
• a memory coupled to the processor, wherein the memory comprises instructions which, when executed by the processor, cause the processor to:
• receive patient information for a plurality of patients in the patient population;
• perform a machine learning operation to train a risk scoring algorithm for scoring a risk of adverse conditions for the patient population using the patient information;
• determine, for each patient in the patient population, a risk score based on an application of the risk scoring algorithm to patient information for the patient;
• classify each patient into a risk classification category, in a plurality of risk classification categories, based on a risk score generated by the application of the risk scoring algorithm to the patient information for the patient;
• and
• generate an output indicating membership of patients in the plurality of risk classification categories.