The Lancet

Effective sample size for individual risk predictions: quantifying uncertainty in machine learning models

Individual prediction uncertainty is a key aspect of clinical prediction model performance; however, standard performance ...
Managed Healthcare Executive

New blood test tool, app could help detect tuberculosis early in low-resource areas, according to new study in China

It’s been discovered that a new tool using routine blood tests and a simple online app could help detect tuberculosis (TB) ...
GitHub

Imprecise Probabilistic Machine Learning

“There are known knowns. There are known unknowns. But there are also unknown unknowns—things we do not yet realize we do not know.”—Donald Rumsfeld (2002) While modern machine learning (ML) ...
IEEE

Machine Learning–Based Hypertension Risk Stratification Using Logistic Regression and XGBoost

Abstract: Hypertension is a critical global health concern, necessitating accurate prediction models and effective prescription decisions to mitigate its risks. This study proposes a hybrid machine ...
RealSport101

Can EA Sports Predict Real-Life Results? Machine Learning in Sports Prediction

Machine learning works alongside EA Sports FC’s AI, so the simulations can improve to be more accurate. This is why the game ...
Việt Báo

6-Month Roadmap for 'Amateurs' to Become AI Engineers: Focus on GitHub, Not Certifications

The demand for AI human resources in Vietnam is exploding. TopDev reports continuously show that AI/Machine Learning is a skill that is sought after by employers.
Scientific Research Publishing

Heart Disease Prediction: A Logistic Regression Approach ()

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 ...
Frontiers

Postpartum depression risk prediction using explainable machine learning algorithms

1 Department of Science and Education, Shenyang Maternity and Child Health Hospital, Shenyang, China 2 Department of Maternal, Child and Adolescent Health, School of Public Health, Shenyang Medical ...
GitHub

Pull requests: pratyaksh-sinha/multiple-disease-prediction-using-SVM-Logistic-Regression--Machine-Learning-Project

Pull requests help you collaborate on code with other people. As pull requests are created, they’ll appear here in a searchable and filterable list. To get started, you should create a pull request.