| Exploiting Linked Data and Knowledge Graphs for Large Organisations JZ Pan, G Vetere, JM Gomez-Perez, H Wu Springer, Heidelberg, 2017 | 259 | 2017 |
| 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 | 172 | 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 | 170 | 2021 |
| 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 | 166 | 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 | 148 | 2021 |
| 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 | 141 | 2017 |
| 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 | 137 | 2018 |
| 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 | 133 | 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 | 105 | 2017 |
| 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 | 103 | 2022 |
| 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 | 85 | 2021 |
| 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 | 80 | 2020 |
| 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 | 78 | 2022 |
| 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 | 78 | 2019 |
| Investigating for bias in healthcare algorithms: a sex-stratified analysis of supervised machine learning models in liver disease prediction I Straw, H Wu BMJ Health & Care Informatics 29 (1), 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 | 65 | 2022 |
| A survey on clinical natural language processing in the United Kingdom from 2007 to 2022 H Wu, M Wang, J Wu, F Francis, YH Chang, A Shavick, H Dong, ... npj Digital Medicine 5 (1), 186, 2022 | 62 | 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, ... | 61 | 2020 |
| Prediction of disease comorbidity using explainable artificial intelligence and machine learning techniques: A systematic review MM Alsaleh, F Allery, JW Choi, T Hama, A McQuillin, H Wu, JH Thygesen International Journal of Medical Informatics 175, 105088, 2023 | 53 | 2023 |
| 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 | 52 | 2017 |
Professor Richard DobsonGroup lead and Professor in Bioinformatics, Kings College London and UCLVerified email at kcl.ac.uk
