[HTML][HTML] A comparative analysis of boosting algorithms for chronic liver disease prediction

SM Ganie, PKD Pramanik - Healthcare Analytics, 2024 - Elsevier
Chronic liver disease (CLD) is a major health concern for millions of people all over the
globe. Early prediction and identification are critical for taking appropriate action at the …

Analysis of breast cancer classification with machine learning based algorithms

A Bah, M Davud - 2022 2nd International Conference on …, 2022 - ieeexplore.ieee.org
Nowadays experienced radiologists can perform successful detection of malignant tumors
by examining the histological images or patients' data. However, experts may have different …

Improved Kepler Optimization Algorithm for enhanced feature selection in liver disease classification

EH Houssein, N Abdalkarim, NA Samee… - Knowledge-Based …, 2024 - Elsevier
Liver diseases represent a significant healthcare challenge, impacting millions globally and
posing complexities in diagnosis. To address this global health concern, this paper …

Employee promotion prediction by using machine learning algorithms for imbalanced dataset

K Şahinbaş - 2022 2nd International Conference on Computing …, 2022 - ieeexplore.ieee.org
Promotion processes are one of the most important processes in terms of human resources.
A promotion process organized fairly within the organization is a managerial tool that …

Detecting license plate number using ocr technique and raspberry pi 4 with camera

QM Aljelawy, TM Salman - 2022 2nd International Conference …, 2022 - ieeexplore.ieee.org
In this paper, a system of car license plate number detection and recognition is proposed.
The implemented system consists of four main stages: image processing, segmentation …

[HTML][HTML] Improved liver disease prediction from clinical data through an evaluation of ensemble learning approaches

SM Ganie, PKD Pramanik, Z Zhao - BMC Medical Informatics and …, 2024 - ncbi.nlm.nih.gov
Purpose Liver disease causes two million deaths annually, accounting for 4% of all deaths
globally. Prediction or early detection of the disease via machine learning algorithms on …

[HTML][HTML] A self-predictive diagnosis system of liver failure based on multilayer neural networks

F Dashti, A Ghaffari, A Seyfollahi, B Arasteh - Multimedia Tools and …, 2024 - Springer
The lack of symptoms in the early stages of liver disease may cause wrong diagnosis of the
disease by many doctors and endanger the health of patients. Therefore, earlier and more …

Adaptive Analysis of Machine Learning Algorithms on Medical Datasets for Disease Prediction

S Elsayed, MM Ismail, AF Abdel-Gawad… - Information Sciences …, 2024 - sciencesforce.com
This paper aims to analyze and evaluate the performance of different classification
algorithms on medical datasets and gives some tips and guidelines for choosing the right …

A Computational Investigation on Precision Autism and Metabolic Disorders: Predictive Machine Learning for Hepatic Ailment Classification

SG Jacob, B Bennet, M Sulaiman - Proceedings of the 2023 5th …, 2023 - dl.acm.org
Artificial intelligence is an emerging area of modern research that aims at infusing machine
intelligence through computational techniques. Precision Autism is the term coined to view …

The Optimization of ECG-Leads Based Cardiovascular Abnormal Detection Scheme

WR Mohammed, AF Hussein - 2022 2nd International …, 2022 - ieeexplore.ieee.org
An electrocardiogram, often known as an ECG, is a diagnostic tool that measures the
electrical activity of the heart in order to identify potential heart abnormalities. Although the …