A machine learning model based on electronic health record data can provide updated predictions of preeclampsia risk, ...

MIT researchers introduce a technique that improves how AI systems explain their predictions, helping users assess trust in ...

Discover how a new AI system is revolutionizing energy management by merging machine learning and mathematical programming. This innovative approach not only boosts prediction accuracy but also ...

Read more about AI and machine learning drive digital transformation across global mining operations on Devdiscourse ...

IPDsim: An interpretable model to assess individual clinical antagonism in combination therapies for cancers. Model performance across development and validation cohorts.

Machine learning models are usually complimented for their intelligence. However, their success mostly hinges on one fundamental aspect: data labeling for machine learning. A model has to get familiar ...

A new machine learning model built using a simple and interpretable approach predicts in-hospital death in patients with acute liver failure and reveals top risk drivers.

However, inconsistent travel times and unpredictable congestion continue to undermine service reliability, particularly in ...

Objective Cardiovascular diseases (CVD) remain the leading cause of mortality globally, necessitating early risk identification to improve prevention and management strategies. Traditional risk ...