Preface -- Introduction -- A new scalable and comprehensive real-time evaluation system of dependence -- An Ontology based Authentication Framework for Healthcare Monitoring -- DeepLCP: Towards a DeepLearning Approach To Prevent Lung Cancer -- A sleep monitoring method with EEG signals -- Numerical simulation of venous system blood flow for hepatic donor patient and portal hypertension's proposed measurement -- Medical decision-making: Incompressible Blood Flow Simulation for the coronary artery and bifurcation stenosis with CFD Module -- Accurate left ventricular segmentation towards 3D visualization -- A Smart Search Functionality for a Memory Prosthesis: A Semantic Similarity-Based Approach -- An Efficient Medical Image Retrieval based on Medical-Dependent Features -- Brain image processing using deep learning: an overview -- Discrete optimization model of free-fall-flow-rack based automated drug dispensing system -- Intuitive and intelligent solutions for elderly care -- Interactive Data Visualization for eHealth Retrieval System -- Accuracy Assessment of Cardiac Segmentation Tool Over Right Ventricle Short-axis Slices -- Big Data Analytics in Healthcare -- Towards an oversampling method to improve Hepatocellular carcinoma early prediction -- Towards a Chatbot based Smart Pervasive Healthcare (Medical Emergency Cases) -- A tool for multi-scale modeling of software architectures: Application to the smart home for telemonitoring elderly people at home.

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.