Name: Next Generation Ehealth: Applied Data Science, Machine Learning and Extreme Computational Intelligence (Next Generation Technology Driven Personalized Medicine and Smart Healthcare) (en Inglés)
SKU: 63294936
Price: 160140.00 CLP
Availability: InStock
Author: Lytras Miltiadis,Housawi Abdulrahman,Alsaywid Basim
ISBN: 9780443136191

portada Next Generation Ehealth: Applied Data Science, Machine Learning and Extreme Computational Intelligence (Next Generation Technology Driven Personalized Medicine and Smart Healthcare) (en Inglés)

Next Generation Ehealth: Applied Data Science, Machine Learning and Extreme Computational Intelligence (Next Generation Technology Driven Personalized Medicine and Smart Healthcare) (en Inglés)

Formato

Libro Físico

Editorial

Academic Press

Autor

Lytras Miltiadis,Housawi Abdulrahman,Alsaywid Basim

Idioma

Inglés

N° páginas

338

Encuadernación

Tapa Blanda

ISBN13

9780443136191

N° edición

Next Generation Ehealth: Applied Data Science, Machine Learning and Extreme Computational Intelligence (Next Generation Technology Driven Personalized Medicine and Smart Healthcare) (en Inglés)

Lytras Miltiadis,Housawi Abdulrahman,Alsaywid Basim (Autor) · Academic Press · Tapa Blanda

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Reseña del libro "Next Generation Ehealth: Applied Data Science, Machine Learning and Extreme Computational Intelligence (Next Generation Technology Driven Personalized Medicine and Smart Healthcare) (en Inglés)"

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.