Development of a prediction model for the depression level of the elderly in low-income households: Using decision trees, logistic regression, neural networks, and …

KM Kim, JH Kim, HS Rhee, BY Youn - Scientific reports, 2023 - nature.com
Korea is showing the fastest trend in the world in population aging; there is a high interest in
the elderly population nationwide. Among the common chronic diseases, the elderly tends to …

Hyperparameter optimization for cardiovascular disease data-driven prognostic system

J Saputra, C Lawrencya, JM Saini… - Visual Computing for …, 2023 - Springer
Prediction and diagnosis of cardiovascular diseases (CVDs) based, among other things, on
medical examinations and patient symptoms are the biggest challenges in medicine. About …

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 …

AI-Powered Automated Methods for Predicting Liver Disease: A Recent Review

J Patil, S Chiwhane - International Conference on Advancements in Smart …, 2023 - Springer
The diagnosis of liver disease using invasive method is a major concern for people. The
invasive method like biopsy may be the last decision of doctors after many non-invasive …

Accuracy Prediction using Machine Learning Techniques for Indian Patient Liver Disease

DS Shylaja, M Karunya, J Oliviya - 2023 International …, 2023 - ieeexplore.ieee.org
One of the principal cause of mortality in the countryis liver disease. Each year, liver disease
kills more than 2.4 percent of all Indians. As a result, for the early intervention of liver …

An optimal Bi-gated recurrent unit and ResNET using IoT for healthcare monitoring

A Jayaraman, PK Jangalapuram, C Ambayiram… - Expert Systems with …, 2024 - Elsevier
Abstract Chronic Kidney Disease (CKD) and liver diseases are progressive diseases with
high morbidity and large fatal rates occurring generally in the adult population exclusively …

[HTML][HTML] A Novel Application of K-means Cluster Prediction Model for Diabetes Early Identification using Dimensionality Reduction Techniques

V Krishna B, B AP, G HL, V Ravi… - The Open …, 2023 - openbioinformaticsjournal.com
Purpose: Diabetes is a condition where the body cannot utilize insulin properly.
Maintenance of the levels of insulin in the body is mandatory, otherwise it will lead to several …

Advances in QSAR through artificial intelligence and machine learning methods

C Selvaraj, E Elakkiya, P Prabhu, D Velmurugan… - QSAR in Safety …, 2024 - Elsevier
The goal of drug discovery is to locate lead compounds and novel compounds that have
certain features and potential to be developed into drugs to treat diseases. The application …

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 …

[PDF][PDF] An efficient, lightweight MobileNetV2-based fine-tuned model for COVID-19 detection using chest X-ray images

S Velu - Mathematical Biosciences and Engineering, 2023 - core.ac.uk
In recent years, deep learning's identification of cancer, lung disease and heart disease,
among others, has contributed to its rising popularity. Deep learning has also contributed to …