Digital Health Approach for Predictive, Preventive, Personalised and Participatory Medicine

£129.50

Digital Health Approach for Predictive, Preventive, Personalised and Participatory Medicine

Medical research Computer applications in industry and technology

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Collection: Advances in Predictive, Preventive and Personalised Medicine

Language: English

Published by: Springer

Published on: 10th July 2019

Format: LCP-protected ePub

Size: 11 Mb

ISBN: 9783030118006


Introduction

This collection, entitled Digital Health for Predictive, Preventive, Personalized and Participatory Medicine contains the proceedings of the first International conference on digital healthtechnologies (ICDHT 2018). Ten recent contributions in the fields of Artificial Intelligence (AI) and machine learning, Internet of Things (IoT) and data analysis, all applied to digital health. This collection enables researchers to learn about recent advances in the above mentioned fields. It brings a technological viewpoint of P4 medicine. Readers will discover how advanced Information Technology (IT) tools can be used for healthcare. For instance, the use of connected objects to monitor physiological parameters is discussed. Moreover, even if compressed sensing is nowadays a common acquisition technique, its use for IoT is presented in this collection through one of the pioneer works in the field.

Additional Topics

In addition, the use of AI for epileptic seizure detection is also discussed as being one of the major concerns of predictive medicine both in industrialized and low-income countries.

Editor Information

This work is edited by Prof. Lotfi Chaari, professor at the University of Sfax, and previously at the University of Toulouse. This work comes after more than ten years of expertise in the biomedical signal and image processing field.

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