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How machine learning can help optimize treatment for septic shock

By using reinforcement learning, researchers train virtual agent to determine the best time to administer medication based on ...
Insurancenewsnet.com

Findings in Machine Learning Reported from City University of Hong Kong (Predictive Analysis for Healthcare Fraud Detection: Integration of Probabilistic Model and ...

2025 NOV 05 (NewsRx) -- By a News Reporter-Staff News Editor at Health Policy and Law Daily-- Data detailed on Machine Learning have been presented. According to news reporting from Hong Kong, ...
manilatimes

Noom Unveils New Diabetes Lifestyle Program and Predictive Glucose Forecasting to Tackle America’s Diabetes Crisis

Innovative tools give employers, health plans, and individuals proactive ways to prevent and manage diabetes-one of the nation’s fastest-growing and most costly chronic conditions Through a ...
Psychology Today

Model Drift: How Mental Models Degrade Over Time

The same thing happens to teams, even high-performing ones. In fact, if you don’t actively work to routinely update your ...
The Lancet

Development and validation of a machine-learning model to reduce futile procurements in donations after circulatory death in liver transplantation in the USA…

We show that, compared with surgeon predictions and existing risk-prediction tools, our machine-learning model can enhance ...
BMJ Open

Enhancing healthcare providers’ advance care planning competence with large language models: protocol for the development of an AI chatbot and its evaluation in a randomised ...

Introduction Advance care planning (ACP) can support individuals to express their autonomy in the decision-making process for future care. Traditional ACP training for healthcare providers faces ...