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Researchers have developed a deep learning model called LSTM-SAM that predicts extreme water levels from tropical cyclones more efficiently and accurately, especially in data-scarce coastal regions, ...
Molecular machine learning (ML) underpins critical workflows in drug discovery, material science, and catalyst optimization ...
A novel generative AI framework can predict the need for red blood cell transfusion and mortality risk in ICU patients with ...
Early prediction of in-hospital pneumonia mortality can effectively be done using a machine learning (ML) model based on clinical data.
Designed to support the entire machine learning lifecycle -- from data ingestion and model training to deployment and monitoring -- Azure ML is empowering developers to integrate predictive ...
ASCO and JCO CCI assume no responsibility for any injury or damage to persons or property arising out of or related to any use of the material contained in this publication or to any errors or ...
Abstract: Ischemic stroke is a life-threatening medical emergency caused by a lack of blood flow ... a predictive modeling approach using machine learning techniques to identify diabetic patients at ...
This paper presents a machine learning (ML)-based framework using Adaptive Neuro-Fuzzy Inference System (ANFIS) to predict diabetes ... achieves superior predictive performance. The experimental ...
After data normalization, the machine learning model was trained ... the highest predictive capacity for the development of HBV or HCV infection in people with diabetes was demonstrated by ...
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