Data classification using rough set and bioinspired computing in healthcare applications-an extensive review

N Kumari, DP Acharjya - Multimedia Tools and Applications, 2023 - Springer
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 …

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 …

Intelligent computing on time-series data analysis and prediction of COVID-19 pandemics

S Dash, C Chakraborty, SK Giri, SK Pani - Pattern Recognition Letters, 2021 - Elsevier
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 …

A review on machine learning approaches in identification of pediatric epilepsy

MIB Ahmed, S Alotaibi, S Dash, M Nabil… - SN computer science, 2022 - Springer
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 …

A deep learning approach to intelligent fruit identification and family classification

NM Ibrahim, DGI Gabr, A Rahman, S Dash… - Multimedia Tools and …, 2022 - Springer
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 …

Intelligent IoT framework for indoor healthcare monitoring of Parkinson's disease patient

M Raza, M Awais, N Singh, M Imran… - IEEE Journal on …, 2020 - ieeexplore.ieee.org
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 …

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 …

Comprehensive Analysis of Nature-Inspired Algorithms for Parkinson's Disease Diagnosis

S Shafiq, S Ahmed, MS Kaiser, M Mahmud… - IEEE …, 2022 - ieeexplore.ieee.org
Parkinson's disease (PD) is a prominent neurodegenerative disease that damages the
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 …

[PDF][PDF] Smart healthcare management evaluation using fuzzy decision making method

MT Quasim, A Shaikh, M Shuaib, A Sulaiman, S Alam… - 2021 - academia.edu
Smart healthcare has become a health policy services that utilize technologies including
wearables, the Internet of things, smartphones, etc., to access information continuously and …