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:
Apr. 25, 2023

Filed:

Sep. 18, 2018
Applicant:

Koninklijke Philips N.v., Eindhoven, NL;

Inventors:

Sergio Consoli, Nuenen, NL;

Monique Hendriks, Eindhoven, NL;

Pieter Christiaan Vos, Vught, NL;

Jacek Lukasz Kustra, Eindhoven, NL;

Ralf Dieter Hoffmann, Brueggen, NL;

Dimitrios Mavroeidis, Utrecht, NL;

Assignee:

KONINKLIJKE PHILIPS N.V., Eindhoven, NL;

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G16H 50/70 (2018.01); G16H 10/60 (2018.01); G16H 50/20 (2018.01); G06F 16/28 (2019.01); G06N 20/00 (2019.01);
U.S. Cl.
CPC ...
G16H 50/70 (2018.01); G06F 16/285 (2019.01); G06N 20/00 (2019.01); G16H 10/60 (2018.01); G16H 50/20 (2018.01);
Abstract

A method of clustering or grouping subjects that are similar to one another. A dataset contains, for each subject, a set of quantitative values which each represent a respective clinical or pathological feature of that subject. A principal component analysis, PCA, is performed on the dataset. Loadings of one of the first two principal components identified by the PCA are used to generate a respective dataset of weighting values. These weighting values are used to weigh or modify each set of quantitative values in the dataset. A clustering algorithm is performed on the weighted sets of subject data. The process may be iterated until user-defined stopping conditions are satisfied.


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