Recent Trends in Large-Data Analytics and Machine Learning for Healthcare

Dear Colleagues,

In the last decade, we have witnessed an increasing diffusion of devices and sensors capable of generating a large amount of useful data to evaluate and make decisions about the health and care of people. This process has some peculiarities that, on the other hand, represent interesting challenges to developing applicable solutions. In particular, the heterogeneity of the sources and the incompleteness of the collected information pave the way for the development of innovative storage, integration, and analysis solutions.

In particular, it is of utmost importance to develop solutions that can guarantee reliability, scalability, and security of the decision-making process and, at the same time, that facilitate the development of data analysis models, also with the use of advanced technologies such as machine learning and artificial intelligence.

This Special Issue aims to explore recent trends in large-data analytics and the application of machine learning methods for healthcare. In particular, original contributions that explore innovative data models for healthcare data; novel data analytics theories and methods; and review articles to the challenging problems of decision-making in healthcare; effectiveness and feasibility of computational solutions in the real world; and trust and privacy are welcome for this Special Issue.

Dr. Flavio Bertini
Dr. Rahimeh Rouhi
Prof. Dr. Enrique Lopez Droguett
Guest Editors

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