Depression is one of the most widespread mental health disorders worldwide, affecting approximately 4% of the global population. It is characterized by a persistent low mood, disruptions in typical ...
Models using established cardiovascular disease risk factors had satisfactory predictive performance for 5-year CVD risk in ...
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 ...
Schizophrenia is a severe and often highly debilitating psychiatric disorder characterized by distorted emotions, thinking ...
Recent study reveals machine learning's potential in predicting the strength of carbonated recycled concrete, paving the way ...
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 ...
Abhijeet Sudhakar develops efficient Mamba model training for machine learning, improving sequence modelling and ...
Data is fundamental to hydrological modeling and water resource management; however, it remains a major challenge in many ...
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