Open Daily: 10am - 10pm | Alley door pickup 10am - 7pm 3038 Hennepin Ave Minneapolis, MN
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  • Open Daily: 10am - 10pm
    Alley-side Pickup: 10am - 7pm

    3038 Hennepin Ave Minneapolis, MN
    612-822-4611

Open Daily: 10am - 10pm | Alley-side Pickup: 10am - 7pm
3038 Hennepin Ave Minneapolis, MN
612-822-4611
Next Generation Ehealth: Applied Data Science, Machine Learning and Extreme Computational Intelligence

Next Generation Ehealth: Applied Data Science, Machine Learning and Extreme Computational Intelligence

Housawi, Abdulrahman
Alsaywid, Basim
Lytras, Miltiadis D.

Paperback

Series: Next Generation Technology Driven Personalized Medicine and Smart Healthcare

BiologyGeneral Science

Currently unavailable to order

ISBN10: 044313619X
ISBN13: 9780443136191
Publisher: Academic Press
Published: Sep 30 2024
Pages: 338
Weight: 1.55
Height: 0.69 Width: 7.49 Depth: 9.34
Language: English
Next Generation eHealth: Applied Data Science, Machine Learning and Extreme Computational Intelligence discusses the emergence, the impact, and the potential of sophisticated computational capabilities in healthcare. This book provides useful therapeutic targets to improve diagnosis, therapies, and prognosis of diseases, as well as helping with the establishment of better and more efficient next-generation medicine and medical systems. Machine learning as a field greatly contributes to next-generation medical research with the goal of improving medicine practices and medical Systems. As a contributing factor to better health outcomes, this book highlights the need for advanced training of professionals from various health areas, clinicians, educators, and social professionals who deal with patients. Content illustrates current issues and future promises as they pertain to all stakeholders, including informaticians, professionals in diagnostics, key industry experts in biotech, pharma, administrators, clinicians, patients, educators, students, health professionals, social scientists and legislators, health providers, advocacy groups, and more. With a focus on machine learning, deep learning, and neural networks, this volume communicates in an integrated, fresh, and novel way the impact of data science and computational intelligence to diverse audiences.

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Lytras, Miltiadis D.

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