Abstract: Diabetes affects 537 million people worldwide, making it the deadliest and most frequent noncommunicable disease. According to studies on diabetes patients, the prevalence of diabetes in ...
Abstract: Hypertension is a critical global health concern, necessitating accurate prediction models and effective prescription decisions to mitigate its risks. This study proposes a hybrid machine ...
Background Patients with heart failure (HF) frequently suffer from undetected declines in cardiorespiratory fitness (CRF), which significantly increases their risk of poor outcomes. However, current ...
A Hybrid Machine Learning Framework for Early Diabetes Prediction in Sierra Leone Using Feature Selection and Soft-Voting Ensemble ...
This repository contains code for analyzing sex differences in the Human Connectome Project (HCP) data using Krakencoder and ensemble model (logistic regression). The analysis spans multiple age ...
This project aims to detect and classify 16x16 pixel drawings into 10 categories (Sun, Moon, Tree, etc.) using linear and probabilistic models. The main focus was not just to use high-level libraries, ...
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