IEEE

Bearing RUL Prediction Using Composite Health Index-Based Gaussian Process Regression Model With a Dynamic Change Point

Abstract: Predicting the remaining useful life (RUL) of bearings is crucial for system reliability and preventing unexpected shutdowns. Aiming at two critical issues in RUL prediction, the first ...
Journal of Medical Internet Research

Using Machine Learning Methods to Predict Early Treatment Outcomes for Multidrug-Resistant or Rifampicin-Resistant Tuberculosis to Enhance Patient Cure Rates: Development and ...

Objective: This study compared a conventional logistic regression model with machine learning (ML) models using demographic and clinical data to predict outcomes at 2 and 6 months of treatment for MDR ...
EurekAlert!

General intelligence framework to predict virus adaptation based on a genome language model

In the field of biomedicine and public health, continuous viral mutation and evolution may enable viruses to cross species barriers, infect non-natural hosts, and subsequently trigger human-to-human ...
IEEE

Machine Learning and Ensemble Prediction for Customer Churn Prediction Analysis

Abstract: Customer churn prediction is super important for businesses. It helps them keep customers around make money over time. In this study, we look at ways to predict when customers might leave ...