Lotfi Chaari – författare

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.

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.

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.

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

•              Data preprocessing, cleaning, management and mining

•              Computer-aided detection

•              Big data analysis, prediction and prevention

•              Cognitive algorithms for healthcare handling dynamic context management

                        - 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

•              E-health Software and Hardware Security

•              Embedded Security for e-health

                        - Applications in P4 medicine