Predicting rare events using principal component analysis and partial least squares
AssigneeAir Products and Chemicals, Inc.
InventorsSanjay Mehta, Debashis Neogi
Life of this patent
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Abstract
Systems and methods are provided for predicting rare events, such as hospitalization events. Data related to health and/or healthcare may be compiled from a number of sources and used to construct a predictive model. The predictive model employ Principal Component Analysis (PCA) and Partial Least Squares (PLS). The data may be arranged in a timeline, and formatted in such a way as to provide discrete temporal “batches”. This arrangement may facilitate the PCA and PLS decomposition of the data into predictive models. These models may then be applied to an individual's data, to create a prediction of healthcare related events.
Claims17
A method, comprising:
- loading a plurality of data records;
- assigning an event to be predicted, wherein the event is related to the health or health-care of a person;
- constructing a prediction model, based at least in part on the plurality of data records, using at least one of the group including:
- Principal Component Analysis (PCA) and Partial Least Squares (PLS).
A system, comprising:
- a memory configured to store a plurality of data records;
- a processor configured to load a plurality of data records;
- the processor configured to assign an event to be predicted, wherein the event is related to the health or health-care of a person;
- the processor, in communication with the memory, configured to construct a prediction model, based at least in part on the plurality of data records, and configured to use at least one of the group including:
- Principal Component Analysis (PCA) and Partial Least Squares (PLS).
A computer-readable storage medium encoded with instructions configured to be executed by a processor, the instructions which, when executed by the processor, cause the performance of a method, comprising:
- loading a plurality of data records;
- assigning an event to be predicted, wherein the event is related to the health or health-care of a person;
- constructing a prediction model, based at least in part on the plurality of data records, using at least one of the group including:
- Principal Component Analysis (PCA) and Partial Least Squares (PLS).
Dependencies are inferred from the claim text.