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The applications of nature‐inspired algorithms in Internet of Things‐based healthcare service: A systematic literature review

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June 1, 2024
Published Date

Research Abstract & Technology Focus

AbstractNature‐inspired algorithms revolve around the intersection of nature‐inspired algorithms and the IoT within the healthcare domain. This domain addresses the emerging trends and potential synergies between nature‐inspired computational approaches and IoT technologies for advancing healthcare services. Our research aims to fill gaps in addressing algorithmic integration challenges, real‐world implementation issues, and the efficacy of nature‐inspired algorithms in IoT‐based healthcare. We provide insights into the practical aspects and limitations of such applications through a systematic literature review. Specifically, we address the need for a comprehensive understanding of the applications of nature‐inspired algorithms in IoT‐based healthcare, identifying gaps such as the lack of standardized evaluation metrics and studies on integration challenges and security considerations. By bridging these gaps, our paper offers insights and directions for future research in this domain, exploring the diverse landscape of nature‐inspired algorithms in healthcare. Our chosen methodology is a Systematic Literature Review (SLR) to investigate related papers rigorously. Categorizing these algorithms into groups such as genetic algorithms, particle swarm optimization, cuckoo algorithms, ant colony optimization, other approaches, and hybrid methods, we employ meticulous classification based on critical criteria. MATLAB emerges as the predominant programming language, constituting 37.9% of cases, showcasing a prevalent choice among researchers. Our evaluation emphasizes adaptability as the paramount parameter, accounting for 18.4% of considerations. By shedding light on attributes, limitations, and potential directions for future research and development, this review aims to contribute to a comprehensive understanding of nature‐inspired algorithms in the dynamic landscape of IoT‐based healthcare services.
applications nature inspired algorithms internet things
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What is the core focus of the research titled 'The applications of nature‐inspired algorithms in Internet of Things‐based healthcare service: A systematic literature review'?

This literature focuses on: AbstractNature‐inspired algorithms revolve around the intersection of nature‐inspired algorithms and the IoT within the healthcare domain. This domain addresses the emerging trends and potential synergies between nature‐inspired computational appr...

Are there open-source GitHub repositories related to The applications of nature‐inspired algorithms in Internet of Things‐based healthcare service: A systematic literature review?

Yes, open-source projects like uditgoenka/autoresearch (Claude Autoresearch Skill — Autonomous goal-directed iteration for Claude Code. Inspired by Karpathy's autoresearch. Modify → Verify → Keep/Discard...) are actively building upon these concepts.

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What other academic literature is closely related to 'The applications of nature‐inspired algorithms in Internet of Things‐based healthcare service: A systematic literature review'?

Yes, highly correlated activity was mapped. An entry titled 'Edge Computing in Healthcare: Innovations, Opportunities, and Challenges' discusses this: Edge computing promising a vision of processing data close to its generation point, reducing latency and bandwidth usage compared with traditional ...

How is the concept of 'The applications of nature‐inspired algorithms in Internet of Things‐based healthcare service: A systematic literature review' being discussed by engineers on Hacker News?

Yes, highly correlated activity was mapped. An entry titled 'Show HN: I just built a MCP Server that connects Claude to all your wearables' discusses this: Pace offers a Claude Connector (MCP Server) that integrates over 20 wearable devices, enabling natural language analysis and visualization of healt...

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