Giancarlo Crocetti

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— A look at how big data is transforming telemedicine to provide better care by tapping into a larger source of patient information. Telemedicine will have a profound impact on patient care, increase access and quality, and represent an opportunity to keep health care costs down. Data generated by smart devices will enable the real-time monitoring of(More)
—Information technology is emerging on many fronts. Spectators, scientists and researchers are anticipating a faster pace of technological advancement turning our day to day interaction into a mesh of connected devices. Internet of Things (IoT) is where we are driving toward, and these connected 'things' encapsulate four main areas. Identity and how this is(More)
DEDICATION This thesis is dedicated to my loving wife Younhee that supported my studies with moving dedication and patience. You are a true inspiration and a compass that always shows me the way to a safe and happy state of mind. ACKNOLEDGEMENTS I'm particularly grateful to Prof. Bilisoly to be my thesis advisor. Data Mining represented a clear improvement(More)
The exploration of social conversations for addressing patient's needs is an important analytical task in which many scholarly publications are contributing to fill the knowledge gap in this area. The main difficulty remains the inability to turn such contributions into pragmatic processes the pharmaceutical industry can leverage in order to generate(More)
—In this study, we executed a genomic analysis with the objective of selecting a set of genes (possibly small) that would help in the detection and classification of samples from patients affected by Parkinson Disease. We performed a complete data analysis and during the exploratory phase, we selected a list of differentially expressed genes. Despite their(More)
— When dealing with document similarity many methods exist today, like cosine similarity. More complex methods are also available based on the semantic analysis of textual information, which are computationally expensive and rarely used in the real time feeding of content as in enterprise-wide search environments. To address these real-time constraints, we(More)
—Classification models for the automatic detection of abnormalities on histological samples do exists, with an active debate on the cost associated with false negative diagnosis (underdiagnosis) and false positive diagnosis (overdiagnosis). Current models tend to underdiagnose, failing to recognize a potentially fatal disease. The objective of this study is(More)
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