Daniel Jones Undergraduate Dissertation 2017/18

Medical Algorithms Repository

Supervised by M.Villa-Uriol

Abstract

The use of medical calculators supporting practitioners is growing. There is more research in risk calculators today, but there is no easy and open platform to publish working copies. This dissertation explores the idea of a platform which makes publishing calculators from statistical data easy, allowing them to be valuable tools which can serve as an additional guide for practitioners and support research papers. The background literature surrounding the use of medical algorithms and how they work is explored in relevant depth, with presentation of the results evaluated. Relevant legislation and potential issues upon publication have been acknowledged and taken into account. Requirements for the solution have been drawn up, with a risk register preventing unnecessary complications. A technical review explores possible technologies that can be utilised in a solution. The need for a flexible solution is acknowledged. A piece of open-source software is designed, implemented, tested, and evaluated in the course of this report. In summary, this dissertation produces a system that could be easily extended and applied to the problem of a ’Medical Algorithm Repository’.