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. 10, 2021

Filed:

Aug. 22, 2016
Applicant:

Conduent Business Services, Llc, Dallas, TX (US);

Inventors:

Harsh Shrivastava, Bangalore, IN;

Vijay Huddar, Bijapur, IN;

Sakyajit Bhattacharya, Bangalore, IN;

Vaibhav Rajan, Bangalore, IN;

Assignee:

Conduent Business Services, LLC, Florham Park, NJ (US);

Attorney:
Primary Examiner:
Assistant Examiner:
Int. Cl.
CPC ...
G16H 50/20 (2018.01); G16H 40/63 (2018.01); G16H 10/60 (2018.01); G06F 16/28 (2019.01); G06F 16/00 (2019.01); G06F 16/35 (2019.01); G06N 20/00 (2019.01); G06N 20/10 (2019.01);
U.S. Cl.
CPC ...
G16H 50/20 (2018.01); G06F 16/00 (2019.01); G06F 16/285 (2019.01); G06F 16/35 (2019.01); G06N 20/00 (2019.01); G06N 20/10 (2019.01); G16H 10/60 (2018.01); G16H 40/63 (2018.01);
Abstract

According to embodiments illustrated herein, there is provided a system for predicting a health condition of a patient. The system further includes one or more processors configured to separately cluster data points from a set of medical records associated with a first class of patients and a second class of patients. A similarity value of each of the clustered data points with respect to a pre-selected subset of data points that represents landmark points may be determined, using a parameterized similarity measure. One or more classifiers are trained using the determined similarity value of each data point. The trained one or more classifiers are adapted to learn one or more parameters of the parameterized similarity measure during the training. An occurrence of the health condition of the patient may be predicted based on the trained one or more classifiers and one or more medical records of the patient.


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