The American Journal of Managed Care

Machine Learning–Based Classifier Accurately Identifies Ovarian Cancer

A predictive model utilizing serum metabolic profiles was able to distinguish ovarian cancer from control samples with 93% accuracy, according to a new study. Machine learning–based classification ...
BIOENGINEER

Seventeen Years of Classifier Chains: Landmark Review Maps the Hidden Backbone of Multi-Label AI

Some ideas in machine learning are so deceptively simple that their full impact takes years to appreciate. Classifier chains, ...
ascopubs.org

Error Reduction in Leukemia Machine Learning Classification With Conformal Prediction

Assessing Algorithmic Fairness With a Multimodal Artificial Intelligence Model in Men of African and Non-African Origin on NRG Oncology Prostate Cancer Phase III Trials Recent advances in machine ...
BIOENGINEER

Puma-Inspired Algorithm Sharpens Feature Selection for Machine Learning

Researchers at Yazd University developed a binary version of the Puma Optimization Algorithm that achieved 91.53 percent ...
Medical Xpress

Machine learning classifier accelerates the development of cellular immunotherapies

Making a personalized T cell therapy for cancer patients currently takes at least six months; scientists at the German Cancer Research Center (DKFZ) and the University Medical Center Mannheim have ...
Medical Xpress

Researchers create machine learning-based classifier that could aid early diagnosis of psychosis

The onset of psychosis can be predicted before it occurs, using a machine-learning tool which can classify MRI brain scans into those who are healthy and those at risk of a psychotic episode. An ...
Visual Studio Magazine

Tsetlin Machine Binary Classification Using C#

The goal of a machine learning binary classification problem is to predict a variable that has exactly two possible values. For example, you might want to predict the sex of a company employee (male = ...