Health Data Science

HEAD: Emanuele Di Angelantonio

The Centre for Health Data Science aims to become a reference institution for the analysis of healthcare data. It will collect data and information from a variety of sources by establishing a dialogue with regional healthcare districts, hospitals and scientific societies. The Centre will integrate clinical data with socioeconomic and environmental risk factors to identify precise vulnerability profiles in order to create targeted policy interventions. In addition, it will work to develop solutions for the analysis of data, developing and integrating new analytical methods with clinical epidemiology and healthcare research.

Centre members

Steering Committee

Publications

  • 12/2018 - International Journal of Non-Linear Mechanics

    A personalized mathematical tool for neuro-oncology: A clinical case study

    This work evaluates the predictive ability of a novel personalized computational tool for simulating the growth of brain tumours using the neuroimaging data collected during one clinical case study. The mathematical model consists of an evolutionary fourth-order partial differential equation with degenerate motility, in which the spreading dynamics of the multiphase tumour is coupled with […]

  • 06/2018 - Computational Management Science

    Identifying systemically important financial institutions: a network approach

    The Basel Committee on Banking Supervision has proposed a methodology to identify Systemically Important Financial Institutions based on a series of indicators that should account for the externalities that these institutions place into the system. In this article we argue that the methodology chosen by Basel III maintains the micro-prudential focus of Basel I and […]

  • 06/2018 - Journal of Informetrics

    The memory of science: Inflation, myopia, and the knowledge network

    Scientific production is steadily growing, exhibiting 4% annual growth in publications and 1.8% annual growth in the number of references per publication, together producing a 12-year doubling period in the total supply of references, i.e. links in the science citation network. This growth has far-reaching implications for how academic knowledge is connected, accessed and evaluated. […]

  • 06/2018 - Proc. Intl. Soc. Mag. Reson. Med.

    Tractography–Based Atlas of the Healthy Cortico-Spinal Tract

    The corticospinal tract is a critical white matter pathway as it connects the primary motor cortex to the spinal cord and handles voluntary motion. Atlases of major brain connections do exist, but, surprisingly, atlases that depict the actual localisation of a specific pathway are missing. In this work, we propose a comprehensive statistical methodology for […]

  • 05/2018 - Statistics & Probability Letters

    On the role of statistics in the era of big data: A call for a debate

    While discussing the plenary talk of Dunson (2016) at the 48th Scientific Meeting of the Italian Statistical Society, I formulated a few general questions on the role of statistics in the era of big data which stimulated an interesting debate. They are reported here with the aim of engaging a larger audience on an issue […]