Models using established cardiovascular disease risk factors had satisfactory predictive performance for 5-year CVD risk in ...
Depression is one of the most widespread mental health disorders worldwide, affecting approximately 4% of the global ...
Machine learning can help predict whether people newly diagnosed with MS will experience disability worsening that occurs ...
A machine learning lung cancer risk prediction model outperformed logistic regression, supporting improved risk assessment and more efficient radiology based lung cancer screening.
New machine learning study reveals how early-life chronic conditions like arthritis, mood disorders, and hypertension may drive premature death in people with IBD—highlighting critical opportunities ...
This study presents a transfer learning–based method for predicting train-induced environmental vibration. The method applies ...
A new technical paper titled “Estimating Voltage Drop: Models, Features and Data Representation Towards a Neural Surrogate” was published by researchers at KTH Royal Institute of Technology and ...
Gas sensing material screening faces challenges due to costly trial-and-error methods and the complexity of multi-parameter ...
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