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:
May. 28, 2019

Filed:

Feb. 18, 2014
Applicant:

The Charles Stark Draper Laboratory, Inc., Cambridge, MA (US);

Inventors:

Nirmal Keshava, Needham, MA (US);

Laura Jane Mariano, Watertown, MA (US);

Assignee:
Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06F 15/18 (2006.01); G06N 20/00 (2019.01); G16H 50/20 (2018.01); G06F 19/00 (2018.01);
U.S. Cl.
CPC ...
G06N 20/00 (2019.01); G06F 19/00 (2013.01); G16H 50/20 (2018.01);
Abstract

A method and system for predicting the onset of a disease is provided. According to one example, the method includes receiving patient data including a first input sample of a first data type and a second input sample of a second data type, the first data type including discrete data and the second data type including continuous data, receiving a training data set including a first plurality of training samples of the first data type and a corresponding second plurality of training samples of the second data type, providing the first input sample and the first plurality of training samples to a first kernel function of a multiple kernel decision function, providing the second input sample and the second plurality of training samples to a second kernel function of the multiple kernel decision function, performing at least one calculation using the multiple kernel decision function to produce at least one result, and determining a probability of whether the patient data indicates that the patient will develop the disease based on the at least one result of the multiple kernel decision function.


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