IEEE

Enhancing Predictive Accuracy of LSTM Neural Networks for Diabetes Risk through K-Fold Cross-Validation: Comparison with K-Nearest Neighbors and Expert Systems

Abstract: Diabetes is a metabolic disease with a rapidly increasing prevalence worldwide. Developing accurate diabetes risk prediction methods is crucial to enable earlier intervention and optimize ...
IEEE

Enumerating the K-Fold Configurations in Multi-Class Classification Problems

Abstract: K-fold cross-validation is a widely used tool for assessing classifier performance. The reproducibility crisis [6] faced by artificial intelligence partly results from the irreproducibility ...
GitHub

Periodic Institutional Order Flow and Supply-Demand Zone Formation

After analyzing 6 years of data (2020-2025) covering 2.4 million bars including the COVID-19 market crash: ...
Frontiers

Development and validation of an interpretable machine learning model to predict malignant cerebral edema after endovascular treatment in acute anterior circulation large ...

1 Department of Neurology, Shanghai East Hospital, School of Medicine, Tongji University, Shanghai, China 2 Department of Neurology, West China Hospital, Sichuan University, Chengdu, China Background: ...
Ripple

Ethereum TVL Could Jump Ten-Fold in 2026, Says Sharplink Co-CEO

Ethereum’s total value locked could rise sharply in 2026, according to Sharplink co-CEO Joseph Chalom. He sees growth in institutional use cases, driving continued growth. Ethereum could increase its ...