Novel enhanced-grey wolf optimization hybrid machine learning technique for biomedical data computation
Today, a significant number of biomedical data is generated continuously from various
biomedical equipment and experiments due to rapid technological improvements in medical …
biomedical equipment and experiments due to rapid technological improvements in medical …
Medical disease prediction using grey wolf optimization and auto encoder based recurrent neural network
Big data development in biomedical and medical service networks provides a research on
medical data benefits, early ailment detection, patient care and network administrations. e …
medical data benefits, early ailment detection, patient care and network administrations. e …
Feature selection method based on grey wolf optimization for coronary artery disease classification
Cardiovascular disease has been declared as one of the deadly illness that affects humans
in the Middle and Old ages across the globe. One of the cardiovascular disease known as …
in the Middle and Old ages across the globe. One of the cardiovascular disease known as …
Online clinical decision support system using optimal deep neural networks
SK Lakshmanaprabu, SN Mohanty… - Applied Soft …, 2019 - Elsevier
Abstract The Internet of Health things (IoHT) has numerous applications in healthcare by
integrating health monitoring things like sensors and medical devices for remotely observe …
integrating health monitoring things like sensors and medical devices for remotely observe …
An improved harris hawks optimization algorithm with simulated annealing for feature selection in the medical field
Harris Hawks Optimization (HHO) algorithm is a new metaheuristic algorithm, inspired by the
cooperative behavior and chasing style of Harris' Hawks in nature called surprise pounce …
cooperative behavior and chasing style of Harris' Hawks in nature called surprise pounce …
Feature selection model for healthcare analysis and classification using classifier ensemble technique
The diagnosis of heart disease is found to be a serious concern, so the diagnosis has to be
done remotely and regularly to take the prior action. In the present world finding the …
done remotely and regularly to take the prior action. In the present world finding the …
[HTML][HTML] Weight optimized neural network for heart disease prediction using hybrid lion plus particle swarm algorithm
RP Cherian, N Thomas, S Venkitachalam - Journal of Biomedical …, 2020 - Elsevier
Heart disease remains one of the significantcauses ofmortality and morbidity amongst the
world's population. Predicting heart disease is considered as one of the vital issues in …
world's population. Predicting heart disease is considered as one of the vital issues in …
Intelligent cardiovascular disease prediction empowered with gradient descent optimization
Disorders of the heart and blood vessels are named cardiovascular disease.'The heart's
proper functionality is of an utmost necessity for the survival of life. The death rate due to …
proper functionality is of an utmost necessity for the survival of life. The death rate due to …
Binary optimization using hybrid grey wolf optimization for feature selection
A binary version of the hybrid grey wolf optimization (GWO) and particle swarm optimization
(PSO) is proposed to solve feature selection problems in this paper. The original PSOGWO …
(PSO) is proposed to solve feature selection problems in this paper. The original PSOGWO …
A novel optimal feature selection technique for medical data classification using ANOVA based whale optimization
U Moorthy, UD Gandhi - Journal of Ambient Intelligence and Humanized …, 2021 - Springer
This research, a hybrid model to feature selection for classification of different heart disease
(HD) dataset is introduced. At first and, a filter method has been utilized to select the relevant …
(HD) dataset is introduced. At first and, a filter method has been utilized to select the relevant …