An ANN model offers the most accurate and reliable prediction of bubble-point pressure for Rmelan crude oils. For practical ...
Introduction Caesarean section rates have increased globally, exceeding the WHO’s recommended threshold of 15%. Understanding ...
A tool that incorporates five predictors helps accurately identify patients with dermatomyositis who have an increased likelihood of concomitant cancer and can be used to help with early detection.
Objectives To identify caregiver burden profiles among informal caregivers of children and adolescents with type 1 diabetes and explore associated factors. Design A multicentre cross-sectional survey ...
1 School of Computing and Data Science, Wentworth Institute of Technology, Boston, USA. 2 Department of Computer Science and Quantitative Methods, Austin Peay State University, Clarksville, USA. 3 ...
Background: Microvascular invasion (MVI) is a critical determinant of poor prognosis in hepatocellular carcinoma (HCC). Accurate preoperative prediction of MVI is essential for optimizing surgical and ...
Logistic Regression is a widely used model in Machine Learning. It is used in binary classification, where output variable can only take binary values. Some real world examples where Logistic ...
Struggling to understand how logistic regression works with gradient descent? This video breaks down the full mathematical derivation step-by-step, so you can truly grasp this core machine learning ...
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