Building Scalable Behavioural Intelligence Frameworks: How Brahmnik Chachra Is Shaping Real-Time Predictive Analytics

If insight arrives after the opportunity to act has passed, it is no longer predictive.The challenge is building systems that ...
Frontiers

Improving Machine Learning for Water Resources Through Scientific Knowledge Integration

Scientific knowledge advances through the interplay of empiricism and theory. Empirical observations of environmental ...
Open Heart

Machine learning-based cardiovascular risk calculator for non-cardiac surgery

Background Annually, 4% of the global population undergoes non-cardiac surgery, with 30% of those patients having at least ...
The American Journal of Managed Care

Machine Learning Predicts Hyperglycemia Risk in Psoriasis

The XGBoost model predicts hyperglycemia risk in psoriasis patients with high accuracy, achieving an AUC of 0.821 in the training set. A web-based calculator was developed to facilitate personalized ...
BMJ

Machine learning approaches to injury risk prediction in sport: a scoping review with evidence synthesis

Objective This study reviewed the current state of machine learning (ML) research for the prediction of sports-related injuries. It aimed to chart the various approaches used and assess their efficacy ...
Analytics Insight

Role of AI in Student Performance Analytics and Learning Outcomes

Overview: Artificial Intelligence is revolutionizing modern education by making learning smarter, more personalized, and ...