An analysis of detection and diagnosis of different classes of skin diseases using artificial intelligence-based learning approaches with hyper parameters
In recent years, metaheuristic optimizers have grown in popularity due to their ability to
efficiently optimize complex, high-dimensional problems that are difficult to solve using …
efficiently optimize complex, high-dimensional problems that are difficult to solve using …
Effectively predicting the presence of coronary heart disease using machine learning classifiers
Coronary heart disease is one of the major causes of deaths around the globe. Predicating a
heart disease is one of the most challenging tasks in the field of clinical data analysis …
heart disease is one of the most challenging tasks in the field of clinical data analysis …
An active learning machine technique based prediction of cardiovascular heart disease from UCI-repository database
S Srinivasan, S Gunasekaran, SK Mathivanan… - Scientific Reports, 2023 - nature.com
Heart disease is a significant global cause of mortality, and predicting it through clinical data
analysis poses challenges. Machine learning (ML) has emerged as a valuable tool for …
analysis poses challenges. Machine learning (ML) has emerged as a valuable tool for …
Application of machine learning in healthcare and medicine: A review
This extensive literature review investigates the integration of Machine Learning (ML) into
the healthcare sector, uncovering its potential, challenges, and strategic resolutions. The …
the healthcare sector, uncovering its potential, challenges, and strategic resolutions. The …
A robust heart disease prediction system using hybrid deep neural networks
Heart Disease (HD) is recognized as the leading cause of worldwide mortality by the World
Health Organization (WHO), resulting in the loss of approximately 17.9 million lives each …
Health Organization (WHO), resulting in the loss of approximately 17.9 million lives each …
[HTML][HTML] A hybrid deep neural net learning model for predicting Coronary Heart Disease using Randomized Search Cross-Validation Optimization
Abstract Coronary Heart Disease (CHD) is a life-threatening public health problem. Many
chronic CHDs and health risks can be avoided, reversed, and reduced with proper risk …
chronic CHDs and health risks can be avoided, reversed, and reduced with proper risk …
Heart disease detection using feature extraction and artificial neural networks: A sensor-based approach
AB Naeem, B Senapati, D Bhuva, A Zaidi… - IEEE …, 2024 - ieeexplore.ieee.org
This study presents a novel technique for identifying individuals using feature extraction
methods and signal processing approaches. It uses an artificial neural network (ANN) …
methods and signal processing approaches. It uses an artificial neural network (ANN) …
Effective feature engineering technique for heart disease prediction with machine learning
Heart failure is a chronic disease affecting millions worldwide. An efficient machine learning-
based technique is needed to predict heart failure health status early and take necessary …
based technique is needed to predict heart failure health status early and take necessary …
An efficient prediction system for coronary heart disease risk using selected principal components and hyperparameter optimization
Medical science-related studies have reinforced that the prevalence of coronary heart
disease which is associated with the heart and blood vessels has been the most significant …
disease which is associated with the heart and blood vessels has been the most significant …
[HTML][HTML] Machine learning-based approach to the diagnosis of cardiovascular vascular disease using a combined dataset
KMM Uddin, R Ripa, N Yeasmin, N Biswas… - Intelligence-Based …, 2023 - Elsevier
Nowadays, one of the most important illnesses is a heart disease which causes most
patients dead. The medical diagnosis of heart disease is quite difficult. This diagnosis is a …
patients dead. The medical diagnosis of heart disease is quite difficult. This diagnosis is a …