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. 03, 2022

Filed:

Apr. 30, 2020
Applicant:

International Business Machines Corporation, Armonk, NY (US);

Inventors:

Zhiyang Yu, Plano, TX (US);

Craig M. Trim, Ventura, CA (US);

Stefan A. G. van Der Stockt, Austin, TX (US);

Attorneys:
Primary Examiner:
Int. Cl.
CPC ...
G06Q 10/06 (2012.01); G06Q 30/02 (2012.01); G06N 20/20 (2019.01); G06N 7/00 (2006.01); G06Q 40/08 (2012.01);
U.S. Cl.
CPC ...
G06Q 10/0635 (2013.01); G06N 7/005 (2013.01); G06N 20/20 (2019.01); G06Q 40/08 (2013.01);
Abstract

Methods, computer program products, and systems are presented for service cost prediction using machine learning. A claims risk model is formed for predicting a per member per month cost based on variables trained in early prediction models and variables of claim record data from data sources. A training dataset for the claims risk model is modified based on a preconfigured cap value and two distinctive datasets are generated, which trains the claims risk model into a capped submodel and an outlier submodel, respectively. Each submodel makes prediction of the per member per month cost and a slice model interpolates a cost predicted by the capped submodel and another predicted by the outlier submodel. The splice model redistributes the outcomes of the capped submodel and the outlier submodel.


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