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.
Patent No.:
Date of Patent:
Jun. 16, 2026
Filed:
Jan. 16, 2024
Applicant:
Prescryptive Health, Inc., Redmond, WA (US);
Inventors:
Christopher Scott Blackley, Woodinville, WA (US);
Ramakrishnan Iyer, Bothell, WA (US);
Luyuan Fang, Seattle, WA (US);
Yang Yu, Redmond, WA (US);
Assignee:
Prescryptive Health, Inc., Redmond, WA (US);
Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06Q 30/0283 (2023.01); G16H 70/40 (2018.01);
U.S. Cl.
CPC ...
G16H 70/40 (2018.01); G06Q 30/0283 (2013.01);
Abstract
A set of inputs from a plurality of inputs are selected based on a user identifier of a user. The set of inputs are apportioned and recombined to produce one or more grouped inputs. The one or more grouped inputs are input to one or more machine learning models to provide individualized information output by the one or more machine learning models to the user.
Blackley, Christopher. (2026). Determining user-personalized target values of products using machine learning models (U.S. Patent No. 12658327). U.S. Patent and Trademark Office. https://idiyas.com/patent/badge/12658327
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile