A machine learning lung cancer risk prediction model outperformed logistic regression, supporting improved risk assessment and more efficient radiology based lung cancer screening.
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 ...
When a quantum computer processes data, it must translate it into understandable quantum data. Algorithms that carry out this 'quantum compilation' typically optimize one target at a time. However, a ...
Attractive young woman in blue workwear nurse helping senior black man in wheelchair with questionnaire, african american pensioneer filling papers at nursing home, having assistance Simple patient ...
Machine learning (ML) is a complex domain that sits squarely at the convergence of mathematics, computer science, and statistics. Its mastery demands profound knowledge, practical expertise, and a ...
An Ensemble Learning Tool for Land Use Land Cover Classification Using Google Alpha Earth Foundations Satellite Embeddings ...
A new research paper shows the approach performs significantly better than the random-walk forecasting method.
Background Annually, 4% of the global population undergoes non-cardiac surgery, with 30% of those patients having at least ...
A collaborative approach to training AI models can yield better results, but it requires finding partners with data that ...
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