| Exploiting Linked Data and Knowledge Graphs for Large Organisations JZ Pan, G Vetere, JM Gomez-Perez, H Wu Springer, Heidelberg, 2017 | 246 | 2017 |
| Evaluation and Improvement of the National Early Warning Score (NEWS2) for COVID-19: a multi-hospital study E Carr, R Bendayan, D Bean, M Stammers, W Wang, H Zhang, T Searle, ... BMC medicine 19 (1), 1-16, 2021 | 152 | 2021 |
| Linked electronic health records for research on a nationwide cohort of more than 54 million people in England: data resource A Wood, R Denholm, S Hollings, J Cooper, S Ip, V Walker, S Denaxas, ... bmj 373, 2021 | 146 | 2021 |
| Excess deaths in people with cardiovascular diseases during the COVID-19 pandemic A Banerjee, S Chen, L Pasea, AG Lai, M Katsoulis, S Denaxas, V Nafilyan, ... European journal of preventive cardiology 28 (14), 1599-1609, 2021 | 140 | 2021 |
| A systematic review of natural language processing applied to radiology reports A Casey, E Davidson, M Poon, H Dong, D Duma, A Grivas, C Grover, ... BMC Medical Informatics and Decision Making 21 (1), 1-18, 2021 | 136 | 2021 |
| SemEHR: A general-purpose semantic search system to surface semantic data from clinical notes for tailored care, trial recruitment, and clinical research H Wu, G Toti, KI Morley, ZM Ibrahim, A Folarin, R Jackson, I Kartoglu, ... Journal of the American Medical Informatics Association 25 (5), 530-537, 2018 | 130 | 2018 |
| Knowledge graph prediction of unknown adverse drug reactions and validation in electronic health records DM Bean, H Wu, M Broadbent, O Dzahini, RJB Dobson, R Stewart Scientific reports 7 (1), 16416, 2017 | 125 | 2017 |
| CogStack-experiences of deploying integrated information retrieval and extraction services in a large National Health Service Foundation Trust hospital R Jackson, I Kartoglu, C Stringer, G Gorrell, A Roberts, X Song, H Wu, ... BMC Medical Informatics and Decision Making 18 (1), 47, 2018 | 121 | 2018 |
| Enterprise Knowledge Graph: An Introduction JM Gomez-Perez, JZ Pan, G Vetere, H Wu Exploiting Linked Data and Knowledge Graphs in Large Organisations, 1-14, 2017 | 97 | 2017 |
| Explainable automated coding of clinical notes using hierarchical label-wise attention networks and label embedding initialisation H Dong, V Suárez-Paniagua, W Whiteley, H Wu Journal of Biomedical Informatics 116, 103728, 2021 | 78 | 2021 |
| Named Entity Recognition for Electronic Health Records: A Comparison of Rule-based and Machine Learning Approaches PJ Gorinski, H Wu, C Grover, R Tobin, C Talbot, H Whalley, C Sudlow, ... arXiv preprint arXiv:1903.03985, 2019 | 71 | 2019 |
| On classifying sepsis heterogeneity in the ICU: insight using machine learning ZM Ibrahim, H Wu, A Hamoud, L Stappen, RJB Dobson, A Agarossi Journal of the American Medical Informatics Association 27 (3), 437-443, 2020 | 68 | 2020 |
| Identifying and visualising multimorbidity and comorbidity patterns in patients in the English National Health Service: a population-based study V Kuan, S Denaxas, P Patalay, D Nitsch, R Mathur, A Gonzalez-Izquierdo, ... The Lancet Digital Health, 2022 | 67 | 2022 |
| COVID-19 trajectories among 57 million adults in England: a cohort study using electronic health records JH Thygesen, C Tomlinson, S Hollings, MA Mizani, A Handy, A Akbari, ... The Lancet Digital Health 4 (7), e542-e557, 2022 | 58 | 2022 |
| Risk prediction for poor outcome and death in hospital in-patients with COVID-19: derivation in Wuhan, China and external validation in London, UK H Zhang, T Shi, X Wu, X Zhang, K Wang, D Bean, R Dobson, JT Teo, ... | 56 | 2020 |
| Design and application of rule based access control policies H Li, X Zhang, H Wu, Y Qu Proc of the Semantic Web and Policy Workshop, 34-41, 2005 | 53 | 2005 |
| Automated clinical coding: what, why, and where we are? H Dong, M Falis, W Whiteley, B Alex, J Matterson, S Ji, J Chen, H Wu npj Digital Medicine 5 (1), 1-8, 2022 | 49 | 2022 |
| Searching Semantic Web Objects Based on Class Hierarchies. G Cheng, W Ge, H Wu, Y Qu LDOW, 2008 | 48 | 2008 |
| Falcon-AO: results for OAEI 2007 W Hu, Y Zhao, D Li, G Cheng, H Wu, Y Qu Proceedings of the 2nd International Conference on Ontology Matching-Volume …, 2007 | 48 | 2007 |
| ADEPt, a semantically-enriched pipeline for extracting adverse drug events from free-text electronic health records E Iqbal, R Mallah, D Rhodes, H Wu, A Romero, N Chang, O Dzahini, ... PloS one 12 (11), e0187121, 2017 | 46 | 2017 |
Professor Richard DobsonGroup lead and Professor in Bioinformatics, Kings College London and UCLVerified email at kcl.ac.uk
