Dear Colleagues,

Smart Health indicates the use of new technologies in the healthcare sector. Innovative tools include Internet of Things (IoT) devices, communication technologies, cloud computing, artificial intelligence (AI), and big data. Thanks to sensors and devices connected to patients, such as technologically advanced bracelets and watches, it is possible to collect data on the state of health of people and treat them, even remotely, anticipating critical situations before they occur. The use of those technologies to support healthcare helps to improve the quality of parental life, assist practitioners and healthcare providers in decision making, collect and exchange information, and prevent fatal events (such as a heart attacks). Such tools produce large amounts of high-dimensional, weakly structured data sets and massive amounts of unstructured information. The possibility of using this enormous and complex clinical data becomes real thanks to advances in AI techniques, which helps to integrate and analyze huge volumes of geographically distributed, heterogeneous clinical data. Recently, novel data sources, such as social network data, have been explored to monitor and analyze health issues with applications in disease surveillance and epidemiological studies. Seminal works have shown that geo-tagged data can be used to track and predict diseases. A number of smart health topics have started to be addressed, including early diagnosis of congestive heart failure, prevention of diabetes, and continuous monitoring of patients psychological and health conditions, in order to facilitate a timely response to emergency pharmacovigilance, user behavioral patterns, drug abuse, depression, well-being, assisted living, and tracking infectious/viral disease spread.

The Special Issue aims to address these topics by focusing on novel solutions, methodologies, algorithms, and models for smart health systems.
Topics of interest include, but are not limited to:

• Personal health virtual assistant;
• Early disease diagnosis and treatment prediction;
• Clinical decision support in disease diagnosis and treatment;
• Methods for the automatic detection and extraction of health-related concept;
• Application of deep learning methods to health data;
• Methods for capturing outbreaks of infectious diseases;
  Drug adversial reaction;
• Pervasive and unobtrusive physiological monitoring solutions;
• Wearable health monitoring technologies;
• Internet of Healthcare Things (IoHT);
• Multimodal sensing and analysis solutions;
• Data fusion and multivariate algorithm development;
• Machine learning/deep learning techniques for real-time wearable sensor data analytics;
• Symptom detection/forecasting using advanced AI-enabled techniques.

Submitted manuscripts should present novel contributions highlighting innovative technologies and applications. Relevant topical reviews are also encouraged for submission.

Dr. Carmela Comito
Guest Editor

Manuscript Submission Information

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