Invention Grant
- Patent Title: Data driven analysis, modeling, and semi-supervised machine learning for qualitative and quantitative determinations
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Application No.: US15170780Application Date: 2016-06-01
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Publication No.: US10068666B2Publication Date: 2018-09-04
- Inventor: Seiji James Yamamoto , Ranjit Chacko
- Applicant: Grand Rounds, Inc.
- Applicant Address: US CA San Francisco
- Assignee: GRAND ROUNDS, INC.
- Current Assignee: GRAND ROUNDS, INC.
- Current Assignee Address: US CA San Francisco
- Agency: Finnegan, Henderson, Farabow, Garrett & Dunner LLP
- Main IPC: G06F19/00
- IPC: G06F19/00 ; G06F17/30 ; G16H40/20 ; G16H50/20 ; G06Q50/22 ; G06Q10/10

Abstract:
Systems and methods are provided for data driven analysis, modeling, and semi-supervised machine learning for qualitative and quantitative determinations. The systems and methods include obtaining data associated with individuals, and determining features associated with the individuals based on the data and similarities among the individuals based on the features. The systems and methods can label some individuals as exemplary, generate a graph wherein nodes of the graph represent individuals, edges of the graph represent similarity among the individuals, and nodes associated labeled individuals are weighted. The disclosed system and methods can apply a weight to unweighted nodes of the graph based on propagating the labels through the graph where the propagation is based on influence exerted by the weighted nodes on the unweighted nodes. The disclosed systems and methods can provide output associated with the individuals represented on the graph and the associated weights.
Public/Granted literature
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