Recent Advances in eHealth Smart Solutions

Édité par Imad Rida Associate Professor at Université de Technologie de Compiègne (UTC)

Dernière mise à jour le 01 juillet 2024

The healthcare sector has been flung into a digital revolution, with technology working its way into every process. The concept of digital health or eHealth emerged to designate the use of Information and Communication Technologies (ICTs) in the healthcare sector, equipping it with cutting-edge resources to ensure more efficient management and optimized diagnosis, definitely, a better patient care. This includes innovations in a whole host of areas such as doctor-patient communication, research and hospital management. With the current observation of an increasing and aging population with more chronic illnesses straining health services in both developed and developing countries, eHealth is seen as a key solution. Indeed, eHealth is a means to provide high-quality care for an increasing number of people and to do so cost effectively and efficiently, and to provide care in accessible and user-driven ways. The objective of this special issue is to provide recent and original achievements and results on eHealth smart solutions. In total three papers have been published. Lazazzera et al. introduced a health monitoring ecosystem called MonEco in order to monitor and predict respiratory and cardiovascular disorders. Halim et al. proposed a data-mining based framework for Autism Spectrum Disorder (ASD) reasons identification. The performed experiments showed very promising results for enabling to identify the features that may contribute towards ASD. Baviskar et al. established hybrid deep learning classification models for efficient heart disease prediction. The proposed framework showed its efficiency on several benchmarks.
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