Digital Health in Focus of Predictive, Preventive and Personalised Medicine: Advances in Predictive, Preventive and Personalised Medicine, cartea 12
Editat de Lotfi Chaarien Limba Engleză Hardback – oct 2020
- 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 medicine
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Specificații
ISBN-13: 9783030498146
ISBN-10: 303049814X
Pagini: 164
Ilustrații: XIX, 164 p. 67 illus., 51 illus. in color.
Dimensiuni: 155 x 235 mm
Greutate: 0.41 kg
Ediția:1st ed. 2020
Editura: Springer International Publishing
Colecția Springer
Seria Advances in Predictive, Preventive and Personalised Medicine
Locul publicării:Cham, Switzerland
ISBN-10: 303049814X
Pagini: 164
Ilustrații: XIX, 164 p. 67 illus., 51 illus. in color.
Dimensiuni: 155 x 235 mm
Greutate: 0.41 kg
Ediția:1st ed. 2020
Editura: Springer International Publishing
Colecția Springer
Seria Advances in Predictive, Preventive and Personalised Medicine
Locul publicării:Cham, Switzerland
Cuprins
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.
Notă biografică
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.
Textul de pe ultima copertă
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.
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.
Caracteristici
This book presents recents advances in digital technologies for health Promising applications using Internet of Things (IoT) for health are presented How Artificial Intelligence (AI) can bring innovation in Predictive, Preventive and Personalized Medicine Innovation in patient monitoring is presented