Honghan Wu | 吴鸿汉

Rutherford Research Fellow of Edinburgh HDR UK
Centre for Medical Informatics, Usher Institute, University of Edinburgh

Visiting Research Fellow at King’s College London

Email: honghan.wu@ed.ac.uk
Github: https://github.com/Honghan

Research Interests: Semantic Search, Knowledge Graph, Machine Learning and their applications in healthcare.
Fellowship project: Deriving an actionable patient phenome from healthcare data.


Short Bio – doing clinical data science by utilising text technologies and Knowledge Graph techniques. was a research fellow in Department of Biostatistics and Health Informatics of King’s College London. had two Marie Curie Fellowships funded by EU IAPP projects of K-Drive (knowledge graph techniques) and TEAM (machine learning, web data mining). holds a PhD in computer science from Southeast University, China.


Updates



  • (23 Dec 2017) An application paper describing our SemEHR toolkit has been accepted by JAMIA, titled “SemEHR: A General-purpose Semantic Search System to Surface Semantic Data from Clinical Notes for Tailored Care, Trial Recruitment and Clinical Research”.
  • (27 Nov 2017) Our work of using knowledge graph techniques in predicting adverse drug reactions has published by Scientific Reports.
  • (14 Sept 2017) our abstract titled SemEHR: Surfacing Semantic Data from Clinical Notes in Electronic Health Records for Tailored Care, Trial Recruitment and Clinical Research has been accepted to present as a poster at UK public health science conference and to be published by The Lancet.
  • (5th July 2017) Our data harmonisation and search toolkit for EHR – CogStack is mentioned in Annual Report of the Chief Medical Officer 2016 by the UK Government.