The proposed multitask learning (MTL) model was developed using data from wearable devices worn by individuals in a randomized controlled trial (RCT) to predict outcomes of a depression treatment.

Some claim that machine learning technology has the potential ... a patient with a cardiovascular disease risk of 9.5-10.5% predicted by the traditional QRISK3 model had a risk of 2.9-9.2% and 2.4 ...

Implementing a traditional machine learning model can be more cost-effective than developing a cutting-edge, customized LLM—particularly if an organization has already built the ML model.

A machine learning model generated by a team from the European Society for Blood and Marrow Transplantation (EBMT) outperformed standard statistical models in identifying and stratifying ...

AI-based models are indeed more compact. Once trained, typically on 40 years of historical weather data from ECMWF, a machine-learning model like Google’s GraphCast can run on less than 5,500 ...