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, https://doi.org/10.1093/jamia/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)
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.
Rebecca Bendayan, Honghan Wu, Zeljko Kraljevic, Robert Stewart, Tom Searle, Jaya Chaturvedi, Jayati Das-Munshi, Zina Ibrahim, Aurelie Mascio, Angus Roberts, Daniel Bean and Richard Dobson. Identifying physical health comorbidities in a cohort of individuals with severe mental illness: An application of SemEHR. Accepted by HealTAC 2020, London.
Zina Ibrahim, Honghan Wu and Ricahrd Dobson. Modeling Rare Interactions in Time Series Data Through Qualitative Change: Application to Outcome Prediction in Intensive Care Units. Accepted by ECAI 2020, Santiago, Spain.
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, https://doi.org/10.1093/jamia/ocz211
Honghan Wu, Minhong Wang, Qianyi Zeng, Wenjun Chen, Jeff Z. Pan, Cathie Sudlow, Dave Robertson. Knowledge Driven Phenotyping. Preprint: medrxiv doi:10.1101/19013748
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
Daniel M. Bean, James Teo, Honghan Wu, Ricardo Oliveira, Raj Patel, Rebecca Bendayan, Ajay M. Shah, Richard J. B. Dobson, Paul A. Scott. Semantic computational analysis of anticoagulation use in atrial fibrillation from real world data. Accepted/In press: PLoS ONE. 2019. doi:10.1371/journal.pone.0225625 Available at: medRxiv
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
Gorinski, Philip John and Wu, Honghan and Grover, Claire and Tobin, Richard and Talbot, Conn and Whalley, Heather and Sudlow, Cathie and Whiteley, William and Alex, Beatrice. Named Entity Recognition for Electronic Health Records: A Comparison of Rule-based and Machine Learning Approaches. In Proceedings: Second UK Healthcare Text Analytics Conference. arXiv:1903.03985. 2019
Jackson, Richard, Ismail Kartoglu, Clive Stringer, Genevieve Gorrell, Angus Roberts, Xingyi Song, Honghan Wu et al. “CogStack-experiences of deploying integrated information retrieval and extraction services in a large National Health Service Foundation Trust hospital.” BMC medical informatics and decision making 18, no. 1 (2018): 47. 10.1186/s12911-018-0623-9
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
Honghan Wu, Anika Oellrich, Christine Girges, Bernard de Bono, Tim J.P. Hubbard, Richard J.B. Dobson. Automated PDF highlighting to support faster curation of literature for Parkinson’s and Alzheimer’s disease. Database (Oxford) 2017; 2017 (1): bax027. DOI: 10.1093/database/bax027
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)
Gomez-Perez, Jose Manuel, Jeff Z. Pan, Guido Vetere, and Honghan Wu. 2017. “Enterprise Knowledge Graph: An Introduction.” In Exploiting Linked Data and Knowledge Graphs in Large Organisations, edited by Jeff Z. Pan, Guido Vetere, Jose Manuel Gomez-Perez and Honghan Wu, 1-14. Cham: Springer International Publishing. DOI: 10.1007/978-3-319-45654-6_1
Villazon-Terrazas, Boris, Nuria Garcia-Santa, Yuan Ren, Alessandro Faraotti, Honghan Wu, Yuting Zhao, Guido Vetere, and Jeff Z. Pan. 2017. “Knowledge Graph Foundations.” In Exploiting Linked Data and Knowledge Graphs in Large Organisations, edited by Jeff Z. Pan, Guido Vetere, Jose Manuel Gomez-Perez and Honghan Wu, 17-55. Cham: Springer International Publishing. DOI: 10.1007/978-3-319-45654-6_2
Denaux, Ronald, Yuan Ren, Boris Villazon-Terrazas, Panos Alexopoulos, Alessandro Faraotti, and Honghan Wu. 2017. “Knowledge Architecture for Organisations.” In Exploiting Linked Data and Knowledge Graphs in Large Organisations, edited by Jeff Z. Pan, Guido Vetere, Jose Manuel Gomez-Perez and Honghan Wu, 57-84. Cham: Springer International Publishing. DOI: 10.1007/978-3-319-45654-6_3
Wu, Honghan, Ronald Denaux, Panos Alexopoulos, Yuan Ren, and Jeff Z. Pan. 2017. “Understanding Knowledge Graphs.” In Exploiting Linked Data and Knowledge Graphs in Large Organisations, edited by Jeff Z. Pan, Guido Vetere, Jose Manuel Gomez-Perez and Honghan Wu, 147-180. Cham: Springer International Publishing. DOI: 10.1007/978-3-319-45654-6_6
Moschitti, Alessandro, Kateryna Tymoshenko, Panos Alexopoulos, Andrew Walker, Massimo Nicosia, Guido Vetere, Alessandro Faraotti, Marco Monti, Jeff Z. Pan, Honghan Wu, and Yuting Zhao. 2017. “Question Answering and Knowledge Graphs.” In Exploiting Linked Data and Knowledge Graphs in Large Organisations, edited by Jeff Z. Pan, Guido Vetere, Jose Manuel Gomez-Perez and Honghan Wu, 181-212. Cham: Springer International Publishing. DOI: 10.1007/978-3-319-45654-6_7
Pan, Jeff Z., Jose Manuel Gomez-Perez, Guido Vetere, Honghan Wu, Yuting Zhao, and Marco Monti. 2017. “Enterprise Knowledge Graph: Looking into the Future.” In Exploiting Linked Data and Knowledge Graphs in Large Organisations, edited by Jeff Z. Pan, Guido Vetere, Jose Manuel Gomez-Perez and Honghan Wu, 237-249. Cham: Springer International Publishing. DOI: 10.1007/978-3-319-45654-6_9
Iqbal, Ehtesham; Mallah, Robbie; Rhodes, Daniel; Wu, Honghan; Romero, Alvin; Chang, Nynn; Dzahini, Olubanke; Pandey, Chandra; Broadbent, Matthew; Stewart, Robert; Dobson, Richard J. B.; Ibrahim, Zina M.; Groza, Tudor (Editor). ADEPt, a semantically-enriched pipeline for extracting adverse drug events from free-text electronic health records. PLoS One , Vol. 12, No. 11, 11.2017, p. e0187121. doi:10.1371/journal.pone.0187121