IEEE Spectrum on MSN
Machine learning system monitors patient pain during surgery
To create their contactless approach, the researchers created a machine learning algorithm capable of analyzing aspects of ...
The XGBoost model predicts hyperglycemia risk in psoriasis patients with high accuracy, achieving an AUC of 0.821 in the training set. A web-based calculator was developed to facilitate personalized ...
Overview: Interpretability tools make machine learning models more transparent by displaying how each feature influences ...
Nonalcoholic fatty liver disease (NAFLD) is the most common cause of chronic liver disease, and if it is accurately predicted ...
Gas sensing material screening faces challenges due to costly trial-and-error methods and the complexity of multi-parameter ...
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