Nature

Pretrained patient trajectories for adverse drug event prediction using common data model-based electronic health records

Pretraining electronic health record (EHR) data using language models has enhanced performance across various medical tasks. Despite the potential of EHR pretraining models, predicting adverse drug ...
Nature

Development and validation of a machine learning model for cardiovascular disease risk prediction in type 2 diabetes patients

Patients with type 2 diabetes mellitus (T2DM) have a significantly higher risk of cardiovascular disease (CVD) compared to the general population. Accurately predicting this risk is crucial for ...
News Medical

Machine learning predicts who will decline faster in Alzheimer’s disease using routine clinic data

In a recent study published in the journal Communications Medicine, a group of researchers developed and validated scalable machine learning models that predict 12-month Mini-Mental State Examination ...
Visual Studio Magazine

Predicting the Future Using Azure Machine Learning

The ability to anticipate what comes next has long been a competitive advantage -- one that's increasingly within reach for developers and organizations alike, thanks to modern cloud-based machine ...