Humans are affected by some diseases due to ageing, which raises the necessity of
effective healthcare operation schemes. Such techniques are necessary to provide …

Based on various sources of inspiration, there are different metaheuristic algorithms, such as
swarm intelligence, evolutionary computation, and bio-inspired algorithms, available in the …

Nature-Inspired Metaheuristic Algorithm with deep learning for Healthcare Data Analysis
Page 1 AIMS Mathematics, 9(5): 12630–12649. DOI: 10.3934/math.2024618 Received: 28 …

Application of Advanced Optimization Techniques for Healthcare Analytics, 1st Edition, is an
excellent compilation of current and advanced optimization techniques which can readily be …

The healthcare industry uses machine learning for diagnosis, prognosis, and surveillance.
Health Catalyst believes machine learning (ML) is the life-saving technology that will …

Metaheuristic algorithms have emerged in recent years as effective computational tools for
addressing complex optimization problems in many areas, including healthcare. These …

The process of machine learning is known as the “training” of machines and the output
generated is known as the “model”. Machine learning is a data analytics tool which …

In the highly competitive environment of healthcare industry, managers incorporate patient
centered care as a major component in the healthcare mission. Management information …

In science and engineering, many optimization tasks are difficult to solve, and the core
concern these days is to apply metaheuristic (MH) algorithms to solve them. Metaheuristics …

The increasing volume of data being collected in healthcare systems and medicine, and the
convergence of various areas of expertise in the health domain are propelling medical and …