Multi-task deep learning of health care outcomes
AssigneeADP, Inc.
InventorsRamsay Cole, Kurt Newman
Life of this patent
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AssigneeADP, Inc.
InventorsRamsay Cole, Kurt Newman
Estimating the term…
A method for generating a communicable disease policy plan by using machine learning. The process identifies a number of workplace policies for a number of business entities. The workplace policies comprise a number of dimensions of data collected from a number of sources. The process collects employment data for each of the business entities. The employment data includes sick leave data about employees of the plurality of business entities. The process determines metrics for the sick leave data during a given time interval; simultaneously models the workplace policies and the metrics for the sick leave data to identify correlations among the number of dimensions of data and generalize rules for predicting effective workplace policies; predicts a number of effective workplace policies for a particular business entity; and generates a communicable disease policy plan for the particular business entity based on the number of effective workplace policies.
A computer-implemented method generating a communicable disease policy plan, the method comprising:
A computer system for generating a communicable disease policy plan, the computer system comprising:
A computer program product for generating a communicable disease policy plan, the computer program product comprising:
Dependencies are inferred from the claim text.