AI can predict success of hip operations

Artificial intelligence can help to predict how well patients with hip osteoarthritis will be able to walk again after an ...
newscase

Health Discovery: A Data-Driven Approach to Diagnostic Innovation

The biotechnology firm Health Discovery is carving out a niche in the molecular diagnostics space by focusing on advanced mathematical analysis. Its core missio ...
Mississippi Valley Publishing

HTC student scientists share projects

The gymnasium of Holy Trinity Catholic junior/senior high school in Fort Madison was buzzing with activity Wednesday evening.
The New York Times

A Brain-Dead Woman Is Being Kept on Machines to Gestate a Fetus. It Was Inevitable.

Ms. Mutcherson is a professor at Rutgers Law School. Right now in an Atlanta hospital room lies a 30-year-old nurse and mother, Adriana Smith. Ms. Smith, who is brain-dead, has been connected to life ...
IEEE

Learning the Optimal Discriminant SVM With Feature Extraction

Abstract: Subspace learning and Support Vector Machine (SVM) are two critical techniques in pattern recognition, playing pivotal roles in feature extraction and classification. However, how to learn ...
marktechpost

Support Vector Machine (SVM) Algorithm

Support Vector Machines (SVMs) are a powerful and versatile supervised machine learning algorithm primarily used for classification and regression tasks. They excel in high-dimensional spaces and are ...
IEEE

One-Class SVM Probabilistic Outputs

Abstract: One-class support vector machine (SVM) is an extension of SVM to handle unlabeled data. As a mature technique for outlier detection, one-class SVM has been widely used in many applications.