Digital Health in Focus of Predictive, Preventive and Personalised Medicine

Herausgegeben:Chaari, Lotfi

• Gebundenes Buch

Produktbeschreibung

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

- Security and privacy for e-health
- Health data Analytics for Security and Privacy

- E-health Software and Hardware Security

- Embedded Security for e-health

- Applications in P4 medic

Produktdetails

• Advances in Predictive, Preventive and Personalised Medicine 12
• Verlag: Springer / Springer International Publishing / Springer, Berlin
• Artikelnr. des Verlages: 978-3-030-49814-6
• 1st ed. 2020
• Seitenzahl: 184
• Erscheinungstermin: 1. Oktober 2020
• Englisch
• Abmessung: 241mm x 160mm x 14mm
• Gewicht: 432g
• ISBN-13: 9783030498146
• ISBN-10: 303049814X
• Artikelnr.: 59372356

Autorenporträt

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.

Inhaltsangabe

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.