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Titlebook: Nature-Inspired Methods for Smart Healthcare Systems and Medical Data; Ahmed M. Anter,Mohamed Elhoseny,Anuradha D. Thakar Book 2024 The Ed

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發(fā)表于 2025-3-21 19:03:10 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
書(shū)目名稱Nature-Inspired Methods for Smart Healthcare Systems and Medical Data
編輯Ahmed M. Anter,Mohamed Elhoseny,Anuradha D. Thakar
視頻videohttp://file.papertrans.cn/663/662078/662078.mp4
概述Integrates nature-inspired algorithms into healthcare systems.Addresses medical data analytics using innovative optimization methods and IoT framework in real-time.Explores the potential of smart heal
圖書(shū)封面Titlebook: Nature-Inspired Methods for Smart Healthcare Systems and Medical Data; Ahmed M. Anter,Mohamed Elhoseny,Anuradha D. Thakar Book 2024 The Ed
描述.This book aims to gather high-quality research papers on developing theories, frameworks, architectures, and algorithms for solving complex challenges in smart healthcare applications for real industry use. It explores the recent theoretical and practical applications of metaheuristics and optimization in various smart healthcare contexts. The book also discusses the capability of optimization techniques to obtain optimal parameters in ML and DL technologies. It provides an open platform for academics and engineers to share their unique ideas and investigate the potential convergence of existing systems and advanced metaheuristic algorithms. The book‘s outcome will enable decision-makers and practitioners to select suitable optimization approaches for scheduling patients in crowded environments with minimized human errors..The healthcare system aims to improve the lives of disabled, elderly, sick individuals, and children. IoT-based systems simplify decision-making and task automation, offering an automated foundation. Nature-inspired metaheuristics and mining algorithms are crucial for healthcare applications, reducing costs, increasing efficiency, enabling accurate data analysis
出版日期Book 2024
關(guān)鍵詞Metaheuristics; Optimization, Internet of Things (IoT); Healthcare; Nature Inspired Methods; Data Mining
版次1
doihttps://doi.org/10.1007/978-3-031-45952-8
isbn_softcover978-3-031-45954-2
isbn_ebook978-3-031-45952-8
copyrightThe Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl
The information of publication is updating

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AI Based Medicine Intake Tracker, take their medication, patients can set a reminder. The reminder can be customized with a variety of schedules for drugs, such as the date, time, and pharmaceutical summary. According to the patients’ preferences, messages within the system will be used to notify them. Patient can choose to look fo
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Analysis of Genetic Mutations Using Nature-Inspired Optimization Methods and Classification Approacf cancer are critical areas of focus in cancer research. The analysis of genes is essential for early diagnosis, therapy, and recovery from the condition. Individualized medicinal medication therapy plays a crucial role in the treatment of cancer. Personalized medicine is recommended to investigate
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Comprehensive Methodology of Contact Tracing Techniques to Reduce Pandemic Infectious Diseases Spre on people’s lives and jobs, as well as the global economy. In order to minimize the spread of such infectious diseases, infected contacts must be closely monitored and handled. Indeed, contact tracing is a process that is used to track and identify contacts during infectious disease spread. This wa
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IoT-Based eHealth Solutions for Aging with Special Emphasis on Aging-Related Inflammatory Diseases:acilitate lifestyle and healthcare assistance. IoT-based smart healthcare devices bring innovative changes for various age related-conditions of elderly persons. During the worldwide pandemic of COVID-19, IoT significantly plays a vital role in assisting the elderly person to monitor their behaviour
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Leveraging Meta-Heuristics in Improving Health Care Delivery: A Comprehensive Overview,gical advancements. To address these challenges, meta-heuristics (MH) has emerged as a promising tool for optimizing decision-making and improving healthcare delivery. This chapter provides a comprehensive overview of the role of MH in the healthcare system, starting with an introduction to the fund
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發(fā)表于 2025-3-23 05:16:50 | 只看該作者
Metaheuristics Algorithms for Complex Disease Prediction,haracteristics from raw data to improve device performance or lengthen sensor network lifetime. Metaheuristics repeat evaluation, transition and determination operators till the search procedure converges or satisfies the specified stopping condition. They are particularly beneficial for interpretin
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發(fā)表于 2025-3-23 08:00:11 | 只看該作者
Printed rGO-Based Temperature Sensor for Wireless Body Area Network Applications,is designed to monitor body temperature and facilitate real-time health monitoring. A Metaheuristic (MH) algorithm is implemented to optimize the sensor readings. MH algorithms, known for their global optimization capabilities, are employed to enhance the accuracy and energy efficiency of the temper
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