A systematic review on metaheuristic optimization techniques for feature selections in disease diagnosis: open issues and challenges

S Kaur, Y Kumar, A Koul, S Kumar Kamboj - Archives of Computational …, 2023 - Springer
There is a need for some techniques to solve various problems in today's computing world.
Metaheuristic algorithms are one of the techniques which are capable of providing practical …

A comprehensive analysis of nature-inspired meta-heuristic techniques for feature selection problem

M Sharma, P Kaur - Archives of Computational Methods in Engineering, 2021 - Springer
Meta-heuristics are problem-independent optimization techniques which provide an optimal
solution by exploring and exploiting the entire search space iteratively. These techniques …

Diagnosis of Parkinson's disease using modified grey wolf optimization

P Sharma, S Sundaram, M Sharma, A Sharma… - Cognitive Systems …, 2019 - Elsevier
This paper presents the Modified Grey Wolf Optimization (MGWO) algorithm which helps
with the identification of the symptoms of Parkinson's disease at a premature stage …

Tuning hyperparameters of machine learning algorithms and deep neural networks using metaheuristics: A bioinformatics study on biomedical and biological cases

S Nematzadeh, F Kiani, M Torkamanian-Afshar… - … biology and chemistry, 2022 - Elsevier
The performance of a model in machine learning problems highly depends on the dataset
and training algorithms. Choosing the right training algorithm can change the tale of a …

Enhanced whale optimization algorithm for medical feature selection: A COVID-19 case study

MH Nadimi-Shahraki, H Zamani, S Mirjalili - Computers in biology and …, 2022 - Elsevier
The whale optimization algorithm (WOA) is a prominent problem solver which is broadly
applied to solve NP-hard problems such as feature selection. However, it and most of its …

An improved harris hawks optimization algorithm with simulated annealing for feature selection in the medical field

ZM Elgamal, NBM Yasin, M Tubishat, M Alswaitti… - IEEE …, 2020 - ieeexplore.ieee.org
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 …

New hybrid method for heart disease diagnosis utilizing optimization algorithm in feature selection

J Nourmohammadi-Khiarak, MR Feizi-Derakhshi… - Health and …, 2020 - Springer
The number and size of medical databases are rapidly increasing, and the advanced
models of data mining techniques could help physicians to make efficient and applicable …

Binary aquila optimizer for selecting effective features from medical data: A COVID-19 case study

MH Nadimi-Shahraki, S Taghian, S Mirjalili… - Mathematics, 2022 - mdpi.com
Medical technological advancements have led to the creation of various large datasets with
numerous attributes. The presence of redundant and irrelevant features in datasets …

Innovative feature selection and classification model for heart disease prediction

SM Nagarajan, V Muthukumaran, R Murugesan… - Journal of Reliable …, 2022 - Springer
Heart disease is a complex disease that affects a large number of people worldwide. The
timely and accurate detection of heart disease is critical in healthcare, particularly in the field …

Intelligent cardiovascular disease prediction empowered with gradient descent optimization

MS Nawaz, B Shoaib, MA Ashraf - Heliyon, 2021 - cell.com
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 …