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Riccardo Bellazzi

Researcher at University of Pavia

Publications -  460
Citations -  11435

Riccardo Bellazzi is an academic researcher from University of Pavia. The author has contributed to research in topics: Population & Medicine. The author has an hindex of 48, co-authored 422 publications receiving 9671 citations. Previous affiliations of Riccardo Bellazzi include Brunel University London & Icahn School of Medicine at Mount Sinai.

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Predictive data mining in clinical medicine: Current issues and guidelines

TL;DR: The extent and role of the research area of predictive data mining and a framework to cope with the problems of constructing, assessing and exploiting data mining models in clinical medicine are discussed and proposed.
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Atlas of the clinical genetics of human dilated cardiomyopathy

TL;DR: This is to the authors' knowledge, the first study that comprehensively investigated the genetics of DCM in a large-scale cohort and across a broad gene panel of the known DCM genes and underline the high analytical quality and feasibility of Next-Generation Sequencing in clinical genetic diagnostics.
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Position paper: The coming of age of artificial intelligence in medicine

TL;DR: This paper is based on a panel discussion held at the Artificial Intelligence in Medicine Europe conference in Amsterdam, The Netherlands, in July 2007 and characterize the maturity and influence that has been achieved to date.
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Association of the FOXO3A Locus with Extreme Longevity in a Southern Italian Centenarian Study

TL;DR: The data point to a key role of FOXO3A in human longevity and confirm the feasibility of the identification of such genes with centenarian-controls studies and hypothesize the susceptibility to the longevity phenotype may well be the result of complex interactions involving genes and environmental factors but also gender.
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Cased-Based Reasoning for medical knowledge-based systems

TL;DR: The appropriateness of CBR for medical knowledge-based systems is discussed, point out problems, limitations and possible ways to cope with them and some systems rely on integrating CBR and other problem solving methodologies.