Invention Grant
- Patent Title: Data driven featurization and modeling
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Application No.: US15040963Application Date: 2016-02-10
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Publication No.: US10430716B2Publication Date: 2019-10-01
- Inventor: Seiji James Yamamoto
- Applicant: Grand Rounds, Inc.
- Applicant Address: US CA San Francisco
- Assignee: GROUND ROUNDS, INC.
- Current Assignee: GROUND ROUNDS, INC.
- Current Assignee Address: US CA San Francisco
- Agency: Finnegan, Henderson, Farabow, Garrett & Dunner, LLP
- Main IPC: G06N5/04
- IPC: G06N5/04 ; G06N20/00 ; G16H50/70 ; G16H50/20

Abstract:
Computer-implemented systems and methods are disclosed for automatically generating predictive models using data driven featurization. The systems and methods provide for obtaining data associated with a target event, annotating the data to identify a target event and establishing one or more limits on the data, censoring the data based on the annotations, determining features of the censored data, and analyzing the features to determine a predictive model. In some embodiments, the systems and methods further provide for converting the features into a binary representation and analyzing the binary representation to produce the predictive model.
Public/Granted literature
- US20170228651A1 DATA DRIVEN FEATURIZATION AND MODELING Public/Granted day:2017-08-10
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