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 ...

Modern credit risk management now leans significantly on predictive modelling, moving far beyond traditional approaches. As lending practices grow increasingly intricate, companies that adopt advanced ...

A machine learning model predicted cardiac tamponade during AF ablation with high accuracy. Learn how XGBoost may improve ...

Dynamic prediction of cancer-associated thrombosis to guide prophylactic anticoagulation. Age distribution of metastatic cancer patients and chemotherapy discontinuation rates.

Objective Cardiovascular diseases (CVD) remain the leading cause of mortality globally, necessitating early risk ...

The recent advent of AI is transforming daily life from streamlining routine tasks to augmenting productivity and ...

DataZapp brings AI and machine learning to deliver affordable, predictive demand generation and marketing data for home ...