This project focuses on building and evaluating machine learning (ML) classification models to predict whether a person has diabetes based on medical and demographic features. It was developed as an ...

This study aimed to develop a machine learning–based model to predict recurrence risk after perianal abscess surgery, thereby supporting personalized follow-up and intervention strategies. Clinical ...

Mathematicians may have a better way to measure agreement across different datasets. Agreement affects reproducibility, meta-analysis, and prediction to fill in missing data points. We need a more ...

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Discover how to predict a spectator's chosen card with perfect accuracy using this simple trick. Ideal for beginners and perfect for casual performances. All you need is a deck of cards and a marker.

Tutorial platform has launched Learn Platform, Web3 domains, and gaming integration. TUT price analysis is bullish with RSI at 54.63 and strong volume. Binance spotlight boosts visibility but niche ...

ABSTRACT: Stock markets are notoriously complex and volatile, which makes accurate price prediction a necessity for investor decision-making, risk mitigation, and profitability. This study develops ...

Institute of Fundamental and Frontier Sciences, University of Electronic Science and Technology of China, Chengdu 610054, China Department of Computer Science, Abdul Wali Khan University Mardan, ...

Postpartum depression (PPD) is a common and serious mental health complication after childbirth, with potential negative consequences for both the mother and her infant. This study aimed to develop an ...

Abstract: 3D NAND flash memory has attacked widespread attention due to its fast speed, high endurance, and strong reliability. However, its reliability decreases as program and erase time increases.