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

Objective Cardiovascular diseases (CVD) remain the leading cause of mortality globally, necessitating early risk ...

Machine learning is an essential component of artificial intelligence. Whether it’s powering recommendation engines, fraud detection systems, self-driving cars, generative AI, or any of the countless ...

In today’s fast-paced software development landscape, speed and quality are equally critical. Development teams face constant pressure to release updates quickly, yet rushing releases without thorough ...

Accurate antenatal prediction of SGA at birth is essential to improve development and delivery of preventative and therapeutic interventions. This study aimed to assess the performance of machine ...

A prediction model integrating an improved random forest (RF) algorithm and logistic regression (LR) is proposed. The method introduces an adaptive feature selection strategy within the RF framework ...

Implement Logistic Regression in Python from Scratch ! In this video, we will implement Logistic Regression in Python from Scratch. We will not use any build in models, but we will understand the code ...

Objective: To evaluate and to compare machine learning models for predicting hypertension in patients with diabetes using routine clinical variables. Methods: Using Behavioral Risk Factor Surveillance ...

AAVE price prediction points to potential recovery toward $215-225 medium-term target, but must hold critical $190 support level with bullish MACD momentum building. With AAVE trading at $194.75 and ...

A new test may get to the heart of your dementia risk several years before any symptoms emerge. Dementia, which affects over 6 million Americans, impacts memory, language and problem-solving skills.