Health Data ScienceHEAD: Emanuele Di Angelantonio
Il Centre for Health Data Science si propone di diventare un’istituzione di riferimento per l’analisi dei dati sanitari. Raccoglierà dati e informazioni da una varietà di fonti instaurando un dialogo con i distretti sanitari regionali, gli ospedali e le società scientifiche nazionali. Il Centro integrerà dati clinici con fattori di rischio socioeconomici e ambientali per identificare profili di vulnerabilità al fine di stimolare strategie mirate. Inoltre, lavorerà per promuovere soluzioni per l’analisi dei dati, sviluppando e integrando nuovi metodi analitici con l’epidemiologia clinica e la ricerca sanitaria.
Professore ordinario di Scienza delle Finanze all’Università Luiss di Roma
Professor of Statistics at the Department of Mathematics, Politecnico di Milano and member of MOX
Full Professor, Economics and Management Politecnico di Milano
06/2020 - BMC Health Services Research
Evaluating the effect of healthcare providers on the clinical path of Heart Failure patients through a novel semi-Markov multi-state model
Investigating similarities and differences among healthcare providers, on the basis of patient healthcare experience, is of interest for policy making. Availability of high quality, routine health databases allows a more detailed analysis of performance across multiple outcomes, but requires appropriate statistical methodology.
06/2020 - European Journal of Hybrid Imaging
According to published data, radiomics features differ between lesions of refractory/relapsing HL patients from those of long-term responders. However, several methodological aspects have not been elucidated yet.
04/2020 - Journal of Translational Medicine
Studies on the early 2000s documented increasing attrition rates and duration of clinical trials, leading to a representation of a “productivity crisis” in pharmaceutical research and development (R&D). In this paper, we produce a new set of analyses for the last decade and report a recent increase of R&D productivity within the industry.
We introduce an indicator that aims to detect the emergence of market instabilities by quantifying the intensity of self-organizing processes arising from stock returns’ co-movements. In financial markets, phenomena like imitation, herding and positive feedbacks characterize the emergence of endogenous instabilities, which can modify the qualitative and quantitative behavior of the underlying system. The impossibility […]
Number of lung resections performed and long-term mortality rates of patients after lung cancer surgery: evidence from an Italian investigation
Although it has been postulated that patients might benefit from the centralization of high-volume specialized centres, conflicting results have been reported on the relationship between the number of lung resections performed and the long-term, all-cause mortality rates among patients who underwent surgery for lung cancer. A population-based observational study was performed to contribute to the […]