A comparative analysis of meta-heuristic optimization algorithms for feature selection on ML-based classification of heart-related diseases
This study aims to use a machine learning (ML)-based enhanced diagnosis and survival
model to predict heart disease and survival in heart failure by combining the cuckoo search …
model to predict heart disease and survival in heart failure by combining the cuckoo search …
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 …
Deep learning approach for detection of diabetic retinopathy
Early Detection of Diabetic Retinopathy is paramount in prevention of vision loss. This study
proposes a novel approach to the automatic detection of diabetic retinopathy (DR) using …
proposes a novel approach to the automatic detection of diabetic retinopathy (DR) using …
[PDF][PDF] Two-level boosting classifiers ensemble based on feature selection for heart disease prediction
K Dissanayake, MGM Johar - Indonesian Journal of Electrical …, 2023 - researchgate.net
Heart disease is a prevalent global health concern, necessitating early detection to save
lives. Machine learning has revolutionized medical research, prompting the investigation of …
lives. Machine learning has revolutionized medical research, prompting the investigation of …
Ev-MDP: a novel metaheuristic technique for heart disease detection
S Goyal - 2023 International Conference on Device Intelligence …, 2023 - ieeexplore.ieee.org
Heart Disease (HD) refers to a wide range of Cardio Vascular Diseases (CVD) that may be
plaque deposits in the arteries or any other abnormality in the heart or blood vessels. Such …
plaque deposits in the arteries or any other abnormality in the heart or blood vessels. Such …
Plant disease detection using deep learning techniques
A Behera, S Goyal - International Conference on Information Systems and …, 2022 - Springer
Loss in food production due to various viruses or bacteria in the crops is one of the
prevailing issues in global agriculture. In order to improve the production, reduce the loss …
prevailing issues in global agriculture. In order to improve the production, reduce the loss …
An Overview of Genomics and Frontiers in Genetics for Smart Era
The genome is a complete set of genetic information contained in an organism's DNA that
encodes all its traits and properties. Understanding genomes is crucial in fields such as …
encodes all its traits and properties. Understanding genomes is crucial in fields such as …
Seizure Detection by Analyzing EEG Signals Using Deep Learning Networks
Epileptic seizures is a well-known and the most chronic neurological disorder and it is
observed highly in infants and elderly people. Symptoms of epileptic seizures are very …
observed highly in infants and elderly people. Symptoms of epileptic seizures are very …
Seizure Detection by Analyzing EEG Signals Using Deep Learning Networks Check for updates
Epileptic seizures is a well-known and the most chronic neurological disorder and it is
observed highly in infants and elderly people. Symptoms of epileptic seizures are very …
observed highly in infants and elderly people. Symptoms of epileptic seizures are very …