Hep-pred: hepatitis c staging prediction using fine gaussian svm

TM Ghazal - Computers, Materials & Continua, 2021 - research.skylineuniversity.ac.ae
Hepatitis C is a contagious blood-borne infection, and it is mostly asymptomatic during the
initial stages. Therefore, it is difficult to diagnose and treat patients in the early stages of …

Enhancing heart attack prediction with machine learning: A study at jordan university hospital

M Alshraideh, N Alshraideh… - … Intelligence and Soft …, 2024 - Wiley Online Library
Efforts have been made to address the adverse impact of heart disease on society by
improving its treatment and diagnosis. This study uses the Jordan University Hospital (JUH) …

Diagnosis of liver disease induced by hepatitis virus using machine learning methods

MA Hafeez, A Imran, MI Khan, AH Khan… - 2022 8th …, 2022 - ieeexplore.ieee.org
Liver, the largest vital organ in the human body, helps in digestion, energy storage, and toxic
removal processes. Hepatitis A, B, C, fatty liver, cirrhosis, and liver cancer all cause swelling …

Liver cirrhosis prediction using machine learning approaches

I Hanif, MM Khan - 2022 IEEE 13th Annual Ubiquitous …, 2022 - ieeexplore.ieee.org
Liver cirrhosis is a highly infectious blood-borne illness that is often asymptomatic in its early
stages. As a result, diagnosing and treating patients during the early stages of illness is …

ConvNextUNet: A small-region attentioned model for cardiac MRI segmentation

H Zhang, Z Cai - Computers in Biology and Medicine, 2024 - Elsevier
Cardiac MRI segmentation is a significant research area in medical image processing,
holding immense clinical and scientific importance in assisting the diagnosis and treatment …

A Dual Dataset approach for the diagnosis of Hepatitis C Virus using Machine Learning

U Singh, MK Gourisaria… - 2022 IEEE International …, 2022 - ieeexplore.ieee.org
Hepatitis C (HCV) is a micro-contagion that leads to liver inflammation, sometimes affecting
the liver to a serious extent. In any medical therapy, proper diagnosis of treatment response …

Survey of the loss function in classification models: Comparative study in healthcare and medicine

S Etemadi, M Khashei - Multimedia Tools and Applications, 2024 - Springer
The selection of an appropriate classification approach depends heavily on the classification
rate, which is the most important factor in achieving the desired decision quality. While …

Applied Artificial Intelligence and Prospect of Internet of Everything (IoE) for the Detection of Tuberculosis

I Omodamilola, AU Ibrahim, S Aşır… - Applied Artificial …, 2024 - Taylor & Francis
Mycobacterium tuberculosis is a bacterium that causes disease known as Tuberculosis.
Tuberculosis is highly contagious and can result in high mortality rate if left untreated. In …

An empirical analysis of decision tree algorithms: Modeling hepatitis data

M Ramasamy, S Selvaraj… - 2015 IEEE International …, 2015 - ieeexplore.ieee.org
Data mining refers to the process of retrieving knowledge by discovering patterns from large
datasets. This paper highlights the performance of seven decision tree classification …

Classification of dengue dataset using J48 algorithm and ant colony based AJ48 algorithm

N Saravanan, V Gayathri - 2017 International Conference on …, 2017 - ieeexplore.ieee.org
This research work manages productive data mining methodology for predicting the dengue
from medicinal records of patients. Dengue is an extremely regular disease nowadays in all …