Individual prediction uncertainty is a key aspect of clinical prediction model performance; however, standard performance metrics do not capture it. Consequently, a model might offer sufficient ...
Machine learning is transforming many scientific fields, including computational materials science. For about two decades, ...
Felimban, R. (2025) Financial Prediction Models in Banks: Combining Statistical Approaches and Machine Learning Algorithms.
Assessment of Circulating Tumor DNA Burden in Patients With Metastatic Gastric Cancer Using Real-World Data Endometrial cancer (EC) is the most common gynecologic cancer in the United States with ...
Gadget Review on MSN
Insurance companies know when you'll die – they use machine learning to predict your expiration
Smartwatch data and AI algorithms help life insurance companies predict mortality with 78% accuracy, potentially affecting ...
Producing the highest accuracy, the 9-gene set produced became the basis of the final classifier. When applied to multiple ...
News-Medical.Net on MSN
Early warning for diabetes: AI model identifies prediabetes risk with high accuracy
By Priyanjana Pramanik, MSc. By combining oxidative stress biology with advanced machine learning, researchers show how a ...
The inaugural competition surprisingly awarded two $100,000 grand prizes to address challenges in defining robust benchmarks for complex biology.
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