ABSTRACT: This paper proposes a hybrid machine learning framework for early diabetes prediction tailored to Sierra Leone, where locally representative datasets are scarce. The framework integrates ...

Abstract: A commonly recognized chronic metabolic condition known as Diabetes mellitus significantly affects the global, social and economic standing of people. Obesity, age, high blood pressure, ...

Diabetic peripheral neuropathy (DPN) is a common and debilitating complication of type 2 diabetes mellitus (T2DM), significantly impacting patients’ quality of life and increasing healthcare burdens.

The application of machine learning (ML) technologies has been a breath of fresh air for investors as stock markets grow more intricate, volatile and interconnected. ML can identify trends in markets, ...

Is there a more in-form player in the country than Cole Palmer right now? After blitzing four goals for Chelsea against Brighton last week — all scored in the space of 20 first half minutes — Palmer ...

The primary challenge in large-scale machine learning is scalability. Traditional algorithms may struggle to cope with the sheer volume of data, resulting in increased computational time and resource ...

Random Forest is an ensemble machine learning algorithm used for classification and regression. It creates a collection of decision trees and combines their results to make a final prediction. The ...