Google's TabFM skips per-dataset training and still predicts on tables it's never seen

Google's TabFM skips per-dataset training and still predicts on unseen tables, matching tuned baselines and cutting pipeline ...

Study raises concerns about AI health-prediction models trained on unreliable datasets

Some AI models designed to predict stroke and diabetes risk may be based on datasets whose origins cannot be verified, ...
IEEE

PE_DIM: An Efficient Probabilistic Ensemble Classification Algorithm for Diabetes Handling Class Imbalance Missing Values

Abstract: Diabetes has become one of the seven major diseases affecting human death, so early prediction of the disease to prevent it is critical. Several existing works of literature, however, make ...
IEEE

Predicting Diabetic Retinopathy and Nephropathy Complications Using Machine Learning Techniques

Abstract: Diabetes and its complications, especially Diabetic Retinopathy (DR) and Diabetic Nephropathy (DN) is a big challenge to the global healthcare system and needs accurate predictive models to ...