Data classification using rough set and bioinspired computing in healthcare applications-an extensive review
The change in living standard made people to think on their physical health. Accordingly,
healthcare organizations are concentrating more on physical health of people in terms of …
healthcare organizations are concentrating more on physical health of people in terms of …
CSCF: a chaotic sine cosine firefly algorithm for practical application problems
BA Hassan - Neural Computing and Applications, 2021 - Springer
Recently, numerous meta-heuristic-based approaches are deliberated to reduce the
computational complexities of several existing approaches that include tricky derivations …
computational complexities of several existing approaches that include tricky derivations …
Intelligent computing on time-series data analysis and prediction of COVID-19 pandemics
Covid-19 disease caused by novel coronavirus (SARS-CoV-2) is a highly contagious
epidemic that originated in Wuhan, Hubei Province of China in late December 2019. World …
epidemic that originated in Wuhan, Hubei Province of China in late December 2019. World …
A review on machine learning approaches in identification of pediatric epilepsy
Epilepsy is the second most common neurological disease after Alzheimer. It is a disorder of
the brain which results in recurrent seizures. Though the epilepsy in general is considered …
the brain which results in recurrent seizures. Though the epilepsy in general is considered …
A deep learning approach to intelligent fruit identification and family classification
The deep learning techniques have been playing an important role in the identification and
classification problems such as diseases in medical science, marketing in the industry …
classification problems such as diseases in medical science, marketing in the industry …
Intelligent IoT framework for indoor healthcare monitoring of Parkinson's disease patient
Parkinson's disease is associated with high treatment costs, primarily attributed to the needs
of hospitalization and frequent care services. A study reveals annual per-person healthcare …
of hospitalization and frequent care services. A study reveals annual per-person healthcare …
Early and High‐Accuracy Diagnosis of Parkinson's Disease: Outcomes of a New Model
SA Doumari, K Berahmand… - … Mathematical Methods in …, 2023 - Wiley Online Library
Parkinson's disease (PD) is one of the significant common neurological disorders of the
current age that causes uncontrollable movements like shaking, stiffness, and difficulty. The …
current age that causes uncontrollable movements like shaking, stiffness, and difficulty. The …
Comprehensive Analysis of Nature-Inspired Algorithms for Parkinson's Disease Diagnosis
Parkinson's disease (PD) is a prominent neurodegenerative disease that damages the
neurons of the substantia nigra, causing irreversible impairments leading to involuntary …
neurons of the substantia nigra, causing irreversible impairments leading to involuntary …
Optimal feature selection from high-dimensional microarray dataset employing hybrid IG-Jaya model
B Sahu, S Dash - Current Materials Science: Formerly: Recent …, 2024 - ingentaconnect.com
Background: Feature selection (FS) is a crucial strategy for dimensionality reduction in data
preprocessing since microarray data sets typically contain redundant and extraneous …
preprocessing since microarray data sets typically contain redundant and extraneous …
[PDF][PDF] Smart healthcare management evaluation using fuzzy decision making method
Smart healthcare has become a health policy services that utilize technologies including
wearables, the Internet of things, smartphones, etc., to access information continuously and …
wearables, the Internet of things, smartphones, etc., to access information continuously and …