Tag: Support Vector Machine
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Recurrence Prediction in Clear Cell Renal Cell Carcinoma: Machine Learning for Quantitative Nuclear Features
Discover how machine learning and quantitative nuclear features can accurately predict recurrence in ccRCC, improving patient care and treatment strategies.
Detecting PCOS Using AI and Machine Learning to Minimize Undiagnosed Cases
Skand Shekhar MD of National Institute of Environmental Health advocates to use Artificial Intelligence/Machine Learning for early detection of Polycystic Ovary Syndrome (PCOS). AI/ML models exhibited extremely high detection rate for PCOS with over 73-100% accuracy and high diagnostic value. Enough Number of studies from 9 to 2000 are available to support the findings. It can reduce the number of PCOS patients suffering from improper diagnosis and delay.