This collection, entitled Digital Health in Focus of Predictive, Preventive and Personalised Medicine contains the proceedings of the second International Conference on Digital Health Technologies (ICDHT 2019). Eighteen recent contributions are presented in the fields of Artificial Intelligence (AI), machine learning, Internet of Things (IoT), data analysis, optimization and health monitoring, 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 PPP medicine and points out innovations and new applications. Readers will discover how advanced Information Technology (IT) tools can be used for healthcare. Most contributions are issue from collaborations between computer scientists and actors in the medical field. Participants from more than ten countries have contributed to enrich this content, either through original papers, keynote talks ordiscussions during the ICDHT 2019 conference.

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

Autorentext
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 medical biomedical signal and image processing field.

Klappentext
This collection, entitled Digital Health in Focus of Predictive, Preventive and Personalised Medicine contains the proceedings of the second International Conference on Digital Health Technologies (ICDHT 2019). Eighteen recent contributions are presented in the fields of Artificial Intelligence (AI), machine learning, Internet of Things (IoT), data analysis, optimization and health monitoring, 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 PPP medicine and points out innovations and new applications.

Readers will discover how advanced Information Technology (IT) tools can be used for healthcare. Most contributions are issue from collaborations between computer scientists and actors in the medical field. Participants from more than ten countries have contributed to enrich this content, either through original papers, keynote talks or discussions during the ICDHT 2019 conference.

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

Zusammenfassung

The edition will cover proceedings of the second International conference on digital health Technologies (ICDHT 2019). The conference will address the topic of P4 medicine from the information technology point of view, and will be focused on the following topics: **

- Artificial Intelligence for health**

• Knowledge extraction

• Decision-aid systems

• Data analysis and risk prediction • Machine learning, deep learning

- Health data processing**

• Data preprocessing, cleaning, management and mining

• Computer-aided detection

• Big data analysis, prediction and prevention

• Cognitive algorithms for healthcare handling dynamic context management • Augmented reality, Motion detection and activity recognition

- Devices, infrastructure and communication**

• Wearable & connected devices

• Communication infrastructures, architectures and standards Blockchain for e-Health

• Computing/storage infrastructures for e-Health

• IoT devices & architectures for Smart Healthcare

- Health information systems**

• Telemedicine, Teleservices

• Computing/storage infrastructures for e-Health

• Clinical Data Visualisation Standards

*** &am...

Inhalt
PrefaceIntroduction: Lotfi Chaari

Chapter 1: Marie-Claude Mendo, Julien Mistrzak, Vincent Peirolo and Laurent Billonnet, A new scalable and comprehensive real-time evaluation system of dependence Chapter 2: Amira Henaien and Hadda Belhadj, An Ontology based Authentication Framework for Healthcare Monitoring

Chapter 3: Mayssa Ben Kahla, Dalel Kanzari and Ahmed Maalel, DeepLCP: Towards a DeepLearning Approach To Prevent Lung Cancer

Chapter 4: Yessrine Abichou, Siwar Chaabene and Lotfi Chaari, A sleep monitoring method with EEG signals. Chapter 5: Safa Ben Cheikh Souguir, Asma Ben Abdallah, Badii Hmida, Raouf Fathallah and Mohamed Hedi Bedoui, Numerical simulation of venous system blood flow for hepatic donor patient and portal hypertension's proposed measurement

Chapter 6: Houneida Sakly, Mourad Said and Moncef Tagina, Medical decision-making: Incompressible Blood Flow Simulation for the coronary artery and bifurcation stenosis with CFD Module

Chapter 7: Khouloud Boukhris, Ramzi Mahmoudi, Badii Hmida and Mohamed Hedi Bedoui, Accurate left ventricular segmentation towards 3D visualization

Chapter 8: Fatma Ghorbel, Wafa Wali, Elisabeth MÉtais, Fayçal Hamdi and Bilel Gargouri, A Smart Search Functionality for a Memory Prosthesis: A Semantic Similarity-Based Approach Chapter 9: Hajer Ayadi and Mouna Torjmen, An Efficient Medical Image Retrieval based on Medical-Dependent Features

Chapter 10: Rahma Kadri, Mohamed Tmar and Bassem Bouaziz, Brain image processing using deep learning: an overview

Chapter 11: Khalid Hachemi and Dhiyaeddine Metahri, Discrete optimization model of free-fall-flow-rack based automated drug dispensing system

Chapter 12: Neja Samar Brencic, Marius Dragoi, Irina Mocanu and Tomasz Winiarski, Intuitive and intelligent solutions for elderly care Chapter 13: Nesrine Ksentini, Mohamed Tmar and Faiez Gargouri, Interactive Data Visualization for eHealth Retrieval System

Chapter 14: Asma Ammari, Ramzi Mahmoudi, Badii Hmida, Rachida Saou…