[HTML][HTML] Breaking barriers: a statistical and machine learning-based hybrid system for predicting dementia

A Javeed, P Anderberg, AN Ghazi, A Noor… - … in Bioengineering and …, 2024 - frontiersin.org
Introduction: Dementia is a condition (a collection of related signs and symptoms) that
causes a continuing deterioration in cognitive function, and millions of people are impacted …

[HTML][HTML] Evaluating and comparing machine learning approaches for effective decision making in renewable microgrid systems

I Elabbassi, M Khala, O Eloutassi - Results in Engineering, 2024 - Elsevier
This study addresses the critical issue of energy management in micro-grid (MG) systems
incorporating renewable energy sources and hydrogen storage. The research introduces an …

Innovations in Stroke Identification: A Machine Learning-Based Diagnostic Model Using Neuroimages

MA Saleem, A Javeed, W Akarathanawat… - IEEE …, 2024 - ieeexplore.ieee.org
Cerebrovascular diseases such as stroke are among the most common causes of death and
disability worldwide and are preventable and treatable. Early detection of strokes and their …

Optimizing Depression Prediction in Older Adults: A Comparative Study of Feature Extraction and Machine Learning Models

A Javeed, P Anderberg, AN Ghazi… - 2024 International …, 2024 - ieeexplore.ieee.org
Depression emerged as a major public health concern in older adults, and timely prediction
of depression has become a difficult problem in medical informatics. The latest studies have …

[PDF][PDF] Optimal tree depth in decision tree classifiers for predicting heart failure mortality

TA Assegie, A Elaraby - Healthcraft Front, 2023 - library.acadlore.com
The depth of a decision tree (DT) affects the performance of a DT classifier in predicting
mortality caused by heart failure (HF). A deeper tree learns complex patterns within the data …

Cardiovascular Diseases (CVD) Prediction Models: a systematic review

R Luthra, GS Bisht, VK Sharma - 2023 - ir.juit.ac.in
Cardiovascular diseases (CVD) have the highest mortality rate in the Indian healthcare
system. The aim of this study and report is to collect medical data related to cardiovascular …

Urinary Bladder Inflammation Prediction with the Gray Wolf Optimization Algorithm and Multi-Layer Perceptron-Based Hybrid Architecture

MA BÜLBÜL - Bitlis Eren Üniversitesi Fen Bilimleri Dergisi - dergipark.org.tr
In this study, a decision support system for bladder inflammation prediction is presented. The
proposed decision support system is built by establishing a hybrid architecture with Gray …