SYSTEMS AND METHODS FOR ADAPTATIVE TRAINING OF MACHINE LEARNING MODELS
Number of patents in Portfolio can not be more than 2000
United States of America Patent
Stats
-
N/A
Issued Date -
Nov 16, 2023
app pub date -
Oct 1, 2021
filing date -
Oct 1, 2021
priority date (Note) -
Published
status (Latency Note)
Importance
Abstract
A system for adapting a machine learning model for a specific population. The system includes a processor and memory devices storing instructions that configure the memory devices to perform operations. The operations may include receive a local dataset comprising local records of patients associated with the healthcare facility, perform a clustering function, and retrieving a template dataset comprising template records organized in clusters with variable centroids. The operations may also include calculating a similarity metric between the local and template records, generating a synthetic dataset by combining template and local records, segregating the synthetic dataset into a training synthetic dataset and a testing synthetic dataset, and generating and/or validating a machine learning predictive model by tuning a template model according to the training synthetic dataset and/or generating a new predictive model.
First Claim
Family
International Classification(s)
Cited Art Landscape
Patent Citation Ranking
Recipient Email Address
Recipient Email Address
Comment
Recipient Email Address
Add to Portfolio(s)
To add this patent to one, or more, of your portfolios, simply click the add button.
This Patent is in these Portfolios:
Add to additional portfolios:
Last Refreshed On:
Changes done successfully