GI and Liver Diseases Medical and Surgical Research
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Seminar: Advanced machine learning techniques to identify a panel of

D Floor, Medical School, NDDC Seminar Room, Nottingham, QMC, West Block
Friday 6th October 2017 (13:00-13:30)

Speaker: Saisakul Chernbumroong, PhD, Research Fellow in Computational Data Analytics


Although non-invasive markers of liver fibrosis have come into routine clinical practice, non-invasive markers that correlate with histopathological changes of non-alcoholic steatohepatitis (NASH) are desirable tools to stratify patients for interventions and to monitor disease progression. Machine learning techniques have become popular and been used in various domain to discover the underlying data patterns and develop predictive models. Here, I present a machine learning approach which identified a panel incorporating key biomarkers that would reliably identify NASH among patients with non-alcoholic fatty liver disease (NAFLD).

Sandwiches and refresments provided


Nottingham Digestive Diseases Centre

The University of Nottingham
E Floor, West Block, Queen's Medical Centre
Nottingham, NG7 2UH

telephone: +44 (0) 115 82 31090