IoT, Machine Learning and Data Analytics for Smart Healthcare PDF
Edited by Mourade Azrour, Jamal Mabrouki, Azidine Guezzaz, Sultan Ahmad, Shakir Khan, Said Benkirane
Description
Machine learning, Internet of Things (IoT) and data analytics are new and fresh technologies that are being increasingly adopted in the field of medicine.
This book positions itself at the forefront of this movement, exploring the beneficial applications of these new technologies and how they are gradually creating a smart healthcare system. This book details the various ways in which machine learning, data analytics and IoT solutions are instrumental in disease prediction in smart healthcare.
For example, wearable sensors further help doctors and healthcare managers to monitor patients remotely and collect their health parameters in real-time, which can then be used to create datasets to develop machine learning models that can aid in the prediction and detection of any susceptible disease.
In this way, smart healthcare can provide novel solutions to traditional medical issues. This book is a useful overview for scientists, researchers, practitioners and academics specialising in the field of intelligent healthcare, as well as containing additional appeal as a reference book for undergraduate and graduate students
Information
-
Download - Immediately Available
- Format:PDF
- Pages:108 pages, 6 Tables, black and white; 14 Line drawings, color; 14 Illustrations, color
- Publisher:Taylor & Francis Ebooks
- Publication Date:13/03/2024
- Category:
- ISBN:9781003860617
Information
-
Download - Immediately Available
- Format:PDF
- Pages:108 pages, 6 Tables, black and white; 14 Line drawings, color; 14 Illustrations, color
- Publisher:Taylor & Francis Ebooks
- Publication Date:13/03/2024
- Category:
- ISBN:9781003860617
