20250173563. Lifelong Machine Learning (lml) Mod (IQVIA .)

LIFELONG MACHINE LEARNING (LML) MODEL FOR PATIENT SUBPOPULATION IDENTIFICATION USING REAL-WORLD HEALTHCARE DATA

Abstract: a deep learning model implements continuous, lifelong machine learning (lml) based on a bayesian neural network using a framework including wide, deep, and prior components that use available real-world healthcare data differently to improve prediction performance. the outputs from each component of the framework are combined to produce a final output that may be utilized as a prior structure when the deep learning model is refreshed with new data in a deep learning process. lifelong learning is implemented by dynamically integrating present learning from the wide and deep learning components with past learning from models in the prior component into future predictions. the bayesian deep neural network-based lml model increases accuracy in identifying patient profiles by continuously learning, as new data becomes available, without forgetting prior knowledge.

Inventor(s): Guanhao Wei, Yunlong Wang, Li Zhou, Lynn Lu, Emily Zhao, Lishan Feng, Fan Zhang, Frank Jing, Yilian Yuan

CPC Classification: G06N3/08 (Learning methods)

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