The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.

The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.

Date of Patent:
Aug. 27, 2024

Filed:

Nov. 03, 2021
Applicant:

Zs Associates, Inc., Evanston, IL (US);

Inventor:

Srinivas Sainaga Chilukuri, Buffalo Grove, IL (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G16H 50/20 (2018.01); G06N 3/126 (2023.01); G16H 50/30 (2018.01); G16H 50/70 (2018.01);
U.S. Cl.
CPC ...
G16H 50/20 (2018.01); G06N 3/126 (2013.01); G16H 50/30 (2018.01); G16H 50/70 (2018.01);
Abstract

Provided herein are methods and systems for selecting featured within high dimensional datasets to predict an event. In one embodiment, a method comprises determining, by a processor, a probability of occurrence of one or more features within a high dimensional patient dataset; profiling, by the processor, the one or more features in accordance with their respective probability of occurrence; executing, by the processor, a feature generation model to select at least one feature from the profiled features and a corresponding time window for the at least one feature; executing, by the processor, a time search model to select at least one time interval from a set of time intervals that includes time intervals associated with the profiled features or the at least one feature; executing, by the processor, a meta-learning model to calculate a fitness score based on the at least one feature and the at least one time interval; and using, by the processor, responsive to the at least one feature having the fitness score that satisfies a threshold, the at least one feature to predict an event associated with a patient.


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