Google Scholar Page | ORCID ORCID: 0000-0002-0213-5668

selected publications

Ewan Carr, Rebecca Bendayan, Daniel Bean, Matthew Stammers, Wenjuan Wang, Huayu Zhang, Thomas Searle, Zeljko Kraljevic, Anthony Shek, Hang T T Phan, Walter Muruet, Anthony J Shinton, Ting Shi, Xin Zhang, Andrew Pickles, Daniel Stahl, Rosita Zakeri, Kevin O’Gallagher, Amos Folarin, Lukasz Roguski, Florina Borca, James Batchelor, Xiaodong Wu, Jiaxing Sun, Ashwin Pinto, Bruce Guthrie, Cormac Breen, Abdel Douiri, Honghan Wu, Vasa Curcin, James T Teo, Ajay Shah, Richard Dobson. Evaluation and Improvement of the National Early Warning Score (NEWS2) for COVID-19: a multi-hospital study. 2020. Preprint: MedRxiv.

Amitava Banerjee, Suliang Chen, Laura Pasea, Alvina Lai, Michail Katsoulis, Spiros Denaxas, Vahe Nafilyan, Bryan Williams, Wai Keong Wong, Ameet Bakhai, Kamlesh Khunti, Deenan Pillay, Mahdad Noursadeghi, Honghan Wu, Nilesh Pareek, Daniel Bromage, Theresa Mcdonagh, Jonathan Byrne, James T Teo, Ajay Shah, Ben Humberstone, Liang V Tang, Anoop SV Shah, Andrea Rubboli, Yutao Guo, Yu Hu, Cathie LM Sudlow, Gregory YH Lip, Harry Hemingway. Excess deaths in people with cardiovascular diseases during the COVID-19 pandemic. 2020. Preprint: MedRxiv.

Huayu Zhang, Ting Shi, Xiaodong Wu, Xin Zhang, Kun Wang, Daniel Bean, Richard Dobson, James T Teo, Jiaxing Sun, Pei Zhao, Chenghong Li, Kevin Dhaliwal, Honghan Wu, Qiang Li, Bruce Guthrie. Risk prediction for poor outcome and death in hospital in-patients with COVID-19: derivation in Wuhan, China and external validation in London, UK. 2020. Preprint: MedRxiv.

Zina M Ibrahim, Honghan Wu, Ahmed Hamoud, Lukas Stappen, Richard J B Dobson, Andrea Agarossi, On classifying sepsis heterogeneity in the ICU: insight using machine learning, Journal of the American Medical Informatics Association, 2020, ocz211,

Pirathiv Kugathasan, HonghanWu, Fiona Gaughrancd, René Ernst Nielsen, Megan Pritchard, Richard Dobson, Robert Stewart, Brendon Stubbs. Association of physical health multimorbidity with mortality in people with schizophrenia spectrum disorders: Using a novel semantic search system that captures physical diseases in electronic patient records. Accepted/In press: Schizophrenia Research. 2019. DOI:10.1016/j.schres.2019.10.061

Honghan Wu, Karen Hodgson, Sue Dyson, Katherine I. Morley, Zina M. Ibrahim, Ehtesham Iqbal, Robert Stewart, Richard JB Dobson, Cathie Sudlow. Efficient Reuse of Natural Language Processing Models for Phenotype-Mention Identification in Free-text Electronic Medical Records: A Phenotype Embedding Approach. JMIR Med Inform 2019;7(4):e14782. DOI:10.2196/14782 PMID: 31845899. 2019

Honghan Wu, Giulia Toti, Katherine I Morley, Zina Ibrahim, Amos Folarin, Ismail Kartoglu, Richard Jackson, Asha Agrawal, Clive Stringer, Darren Gale, Genevieve M Gorrell, Angus Roberts, Matthew Broadbent, Robert Stewart, Richard J B Dobson. SemEHR: A General-purpose Semantic Search System to Surface Semantic Data from Clinical Notes for Tailored Care, Trial Recruitment and Clinical Research. Journal of the American Medical Informatics Association, Volume 25, Issue 5, 1 May 2018, Pages 530–537, cx160, 2018. doi:10.1093/jamia/ocx160

Daniel M. Bean, Honghan Wu, Olubanke Dzahini, Matthew Broadbent, Robert Stewart & Richard J. B. Dobson. Knowledge graph prediction of unknown adverse drug reactions and validation in electronic health records. Scientific Reports, Article number: 16416 (2017) doi:10.1038/s41598-017-16674-x

Jeff Z. Pan, Guido Vetere, Jose Manuel Gomez-Perez and Honghan Wu (Editors) Exploiting Linked Data and Knowledge Graphs for Large Organisations. Springer International Publishing. 2017. ISBN: 978-3-319-45652-2. DOI: 10.1007/978-3-319-45654-6 Available at: Springer (Edited Book)

recent publications (2017 ~)