Supporting Evidence-based Public Health using Text Mining is a project aimed at conducting novel research in text mining and machine learning to transform the way in which evidence-based public health (EBPH) reviews are conducted. The project is a collaboration between three institutions:
- The National Centre for Text Mining (NaCTeM), based at The University of Manchester, with its proven track record of developing effective text mining tools operating in a variety of domains.
- The Machine Learning and Data Analytics (MaLDA) at the University of Liverpool, specialising in the application of machine learning, data mining and general mathematical modelling and optimisation methodologies to complex real-world problems.
- The National Institute for Health and Care Excellence (NICE), the world’s leading centre of the development and application of the principles of evidence-based medicine to technology appraisal, clinical guidelines and public health.
The project is funded by the Medical Research Council for a period of 3 years, from 31st March 2014 to 30th March 2017.