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Develop a tool for inferring symptoms from prescriptions histories for cancer patients

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If you have a question about this talk, please contact Dr Vivien Gruar .

Prescriptions filled in the community setting in England are recorded in the Prescriptions Dataset. These prescriptions are made by healthcare professionals who select pharmaceuticals with indications appropriate for each patient’s illness. Is it possible to reverse engineer this process for cancer patients?

This project will look at leveraging Prescriptions data, the Cancer Analysis System, Healthcare Episode Statistics, and The British National Formulary with supervised and unsupervised machine learning techniques in combinations with rule based systems to attempt to develop a tool for inferring the symptoms of cancer patients.

This talk is part of the Cambridge Mathematics Placements Seminars series.

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