Advances in Artificial Intelligence and Blockchain Technologies for Early Detection of Human Diseases

SA Shammi, P Ghosh, A Sutradhar… - IEEE Transactions …, 2024 - ieeexplore.ieee.org
Modern healthcare should include artificial intelligence (AI) technologies for disease
identification and monitoring, particularly for chronic conditions, including heart, diabetes …

A Machine Learning‐Based Framework for Accurate and Early Diagnosis of Liver Diseases: A Comprehensive Study on Feature Selection, Data Imbalance, and …

AU Rehman, WH Butt, TM Ali, S Javaid… - … Journal of Intelligent …, 2024 - Wiley Online Library
The liver is the largest organ of the human body with more than 500 vital functions. In recent
decades, a large number of liver patients have been reported with diseases such as …

Machine learning-based screening solution for COVID-19 cases investigation: socio-demographic and behavioral factors analysis and COVID-19 Detection

KMA Uddin, FS Prity, M Tasnim, SN Jannat… - Human-Centric …, 2023 - Springer
The COVID-19 pandemic has unleashed an unprecedented global crisis, releasing a wave
of illness, mortality, and economic disarray of unparalleled proportions. Numerous societal …

Predicting the impact of internet usage on students' academic performance using machine learning techniques in Bangladesh perspective

SH Hemal, MAR Khan, I Ahammad, M Rahman… - Social Network Analysis …, 2024 - Springer
Education systems have significantly changed with the emergence of the internet. It has a
significant impact on how students learn things. Nevertheless, its impact can also be …

RG-SVM: Recursive gaussian support vector machine based feature selection algorithm for liver disease classification

P Theerthagiri… - Multimedia Tools and …, 2024 - Springer
Health is an essential concern for everyone, so it is necessary to facilitate medical services
that are easily accessible to everyone. The primary goal of this work is to predict liver …

Cricket players selection for national team and franchise league using machine learning algorithms

M Robel, MAR Khan, I Ahammad… - Cloud Computing and …, 2024 - ojs.wiserpub.com
Cricket player selection is a crucial task for both national teams and franchise leagues.
Traditionally, selectors rely on their experience and knowledge to evaluate a player's …

Prediction of the Computer Science Department's Educational Performance Through Machine Learning Model by Analyzing Students' Academic Statements

MA Hossain, I Ahammad, MK Ahmed… - Artificial Intelligence …, 2023 - ojs.wiserpub.com
In this digital world, technology is changing every second. For this reason, tech-based
educational departments should be aware of their strong and weak areas. By doing so, they …

Prediction of impacts and outbreak of COVID-19 on the society using distinct machine learning algorithms

TT Chaity, MAR Khan, F Rahman - Iran Journal of Computer Science, 2024 - Springer
The COVID-19 pandemic has substantially impacted daily wage workers in various
professions due to restrictions such as lockdowns and social distancing measures. COVID …

Towards an Accurate Liver Disease Prediction Based on Two-level Ensemble Stacking Model

MH Mohamed, BH Ali, AI Taloba, AO Aseeri… - IEEE …, 2024 - ieeexplore.ieee.org
The difficulty of detecting liver disease at an early stage goes back to its limited number of
symptoms. In this study, single and ensemble machine learning (ML) algorithms are applied …

[PDF][PDF] Soil classification and crop cultivation prediction: a comparative study of machine learning models

F Rahman, MAR Khan, Z Tasneem - International Journal of …, 2024 - researchgate.net
Soil classification is necessary to optimize agricultural productivity, manage land use
effectively, and protect the environment. The soil features, including organic matter, chemical …