Scientific Research Publishing

A Hybrid Machine Learning Framework for Early Diabetes Prediction in Sierra Leone Using Feature Selection and Soft-Voting Ensemble ()

A Hybrid Machine Learning Framework for Early Diabetes Prediction in Sierra Leone Using Feature Selection and Soft-Voting Ensemble ...
eLife

A proteome-wide biochemical screen defines binding determinants of the core autophagy protein LC3B

Human MAP1LC3B (LC3B) binds proteins involved in autophagy and other cellular processes using a degenerate four-residue short linear motif known as the LC3-interacting region (LIR). Biochemical and ...
IEEE

A Survey on Class Imbalance Learning Algorithms in Complex Scenarios

Abstract: Class imbalance introduces bias into model learning and remains a persistent and fundamental challenge in machine learning. When class imbalance is coupled with complex data distribution ...
AHA/ASA Journals

Multistage Electrocardiographic Profiling for Mental Stress-Induced Myocardial Ischemia in Women: A Prospective, Age-Matched Cohort Study in China

BACKGROUND: Mental stress-induced myocardial ischemia is often clinically silent and associated with increased cardiovascular risk, particularly in women. Conventional ECG-based detection is limited, ...
Frontiers

Explainable machine learning for stroke risk prediction: a comparative study with SHAP-based interpretation

Stroke is one of the leading causes of death and disability worldwide, making early screening and risk prediction crucial. Traditional methods have limitations in handling nonlinear relationships ...
Fox News

Misspelled learning center, no children inside: Emmer presses Walz over Minnesota daycare tied to $4M

The third-ranking leader in the House of Representatives, who also happens to hail from Minnesota, demanded answers from Gov. Tim Walz after a YouTuber tried to confront employees of an alleged ...
Frontiers

Evaluating machine learning models for stroke prediction based on clinical variables

Stroke remains one of the leading causes of global mortality and long-term disability, driving the urgent need for accurate and early risk prediction tools. Traditional models such as the Framingham ...
C&EN

Introducing Data-Driven Materials Informatics into Undergraduate Courses through a Polymer Science Workshop

Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must be given to the creator. With the rapid growth of artificial intelligence and machine learning across ...
Scientific Research Publishing

Joloudari, J.H., Marefat, A., Nematollahi, M.A., Oyelere, S.S. and Hussain, S. (2023) Effective Class-Imbalance Learning Based on SMOTE and Convolutional Neural Networks ...

ABSTRACT: Human Metapneumovirus (HMPV) is a prominent respiratory pathogen, particularly affecting children, the elderly, and immunocompromised populations. Early detection of HMPV is critical for ...