Advancements and prospects of machine learning in medical diagnostics: unveiling the future of diagnostic precision
Abstract Machine learning (ML) has emerged as a versatile and powerful tool in various
fields of medicine, revolutionizing early disease diagnosis, particularly in cases where …
fields of medicine, revolutionizing early disease diagnosis, particularly in cases where …
A comprehensive review for chronic disease prediction using machine learning algorithms
The past few years have seen an emergence of interest in examining the significance of
machine learning (ML) in the medical field. Diseases, health emergencies, and medical …
machine learning (ML) in the medical field. Diseases, health emergencies, and medical …
[HTML][HTML] A classification and regression tree algorithm for heart disease modeling and prediction
Heart disease remains the leading cause of death, such that nearly one-third of all deaths
worldwide are estimated to be caused by heart-related conditions. Advancing applications of …
worldwide are estimated to be caused by heart-related conditions. Advancing applications of …
Lightweight deep CNN-based models for early detection of COVID-19 patients from chest X-ray images
Hundreds of millions of people worldwide have recently been infected by the novel
Coronavirus disease (COVID-19), causing significant damage to the health, economy, and …
Coronavirus disease (COVID-19), causing significant damage to the health, economy, and …
[HTML][HTML] A comprehensive evaluation of large language models on benchmark biomedical text processing tasks
Abstract Recently, Large Language Models (LLMs) have demonstrated impressive
capability to solve a wide range of tasks. However, despite their success across various …
capability to solve a wide range of tasks. However, despite their success across various …
Coronary Heart Disease Prediction and Classification using Hybrid Machine Learning Algorithms
Nowadays, digitalization in the healthcare organizations places great emphasis on
technological advances in clinical healthcare providers. Traditional methods for measuring …
technological advances in clinical healthcare providers. Traditional methods for measuring …
Modified Self-Adaptive Bayesian algorithm for smart heart disease prediction in IoT system
Heart disease (HD) has surpassed all other causes of death in recent years. Estimating
one's risk of develo** heart disease is difficult, since it takes both specialized knowledge …
one's risk of develo** heart disease is difficult, since it takes both specialized knowledge …
Using recurrent neural networks for predicting type-2 diabetes from genomic and tabular data
The development of genomic technology for smart diagnosis and therapies for various
diseases has lately been the most demanding area for computer-aided diagnostic and …
diseases has lately been the most demanding area for computer-aided diagnostic and …
[Retracted] Heart Disease Prediction Based on the Embedded Feature Selection Method and Deep Neural Network
D Zhang, Y Chen, Y Chen, S Ye, W Cai… - Journal of healthcare …, 2021 - Wiley Online Library
In recent decades, heart disease threatens people's health seriously because of its
prevalence and high risk of death. Therefore, predicting heart disease through some simple …
prevalence and high risk of death. Therefore, predicting heart disease through some simple …
Machine learning-based statistical analysis for early stage detection of cervical cancer
Cervical cancer (CC) is the most common type of cancer in women and remains a significant
cause of mortality, particularly in less developed countries, although it can be effectively …
cause of mortality, particularly in less developed countries, although it can be effectively …