selected publications

Aneeta Sylolypavan, Derek Sleeman, Honghan Wu, and Malcolm Sim. The impact of inconsistent human annotations on AI driven clinical decision making. npj Digital Medicine 6, 26 (2023). DOI:10.1038/s41746-023-00773-3 .

Honghan Wu, Minhong Wang, Jinge Wu, Farah Francis, Yun-Hsuan Chang, Alex Shavick, Hang Dong, et al. ‘A Survey on Clinical Natural Language Processing in the United Kingdom from 2007 to 2022’. npj Digital Medicine 5, 186 (2022). DOI:10.1038/s41746-022-00730-6 .

Hang Dong, Matúš Falis, William Whiteley, Beatrice Alex, Joshua Matterson, Shaoxiong Ji, JiaoyanChen & Honghan Wu. “Automated Clinical Coding - What, Why, and Where We Are.” npj Digital Medicine 5, 159 (2022). DOI:10.1038/s41746-022-00705-7 .

Aneeta Sylolypavan, Derek Sleeman, Honghan Wu, and Malcolm Sim. The Impact of Inconsistent Human Annotations on AI driven Clinical Decision Making. Preprint: doi:10.21203/, Oct 2022.

Johan H Thygesen, Christopher Tomlinson, Sam Hollings, Mehrdad Mizani, Alex Handy, Ashley Akbari Orcid Logo, Amitava Banerjee, Jennifer Cooper, Alvina Lai, Ken Li, Bilal Mateen, Naveed Sattar, Reecha Sofat, Ana Torralbo, Honghan Wu, Angela Wood, Jonathan A C Sterne, Christina Pagel, William Whiteley, Cathie Sudlow, Harry Hemingway, Spiros Denaxas. “COVID-19 trajectories among 57 million adults in England: a cohort study using electronic health records”. Lancet Digital Health. June 2022. DOI:10.1016/S2589-7500(22)00091-7 .

Honghan Wu, Minhong Wang, Aneeta Sylolypavan, Sarah Wild. “Quantifying Health Inequalities Induced by Data and AI Models”. In Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence (IJCAI-22), Special Track on AI for Good. Vienna 23-29 July, 2022. IJCAI-Proceedings, preprint, slides, recording, repo.

Hang Dong, Víctor Suárez-Paniagua, William Whiteley, Honghan Wu. Explainable Automated Coding of Clinical Notes using Hierarchical Label-wise Attention Networks and Label Embedding Initialisation. Journal of Biomedical Informatics. 116 (2021): 103728. February 2021. DOI:10.1016/j.jbi.2021.103728, GitHub Repo

Huayu Zhang, Amy Ferguson, Grant Robertson, Muchen Jiang, Teng Zhang, Cathie Sudlow, Keith Smith, Kristiina Rannikmae, Honghan Wu. Benchmarking network-based gene prioritization methods for cerebral small vessel disease. Briefings in Bioinformatics. February 2021. DOI:10.1093/bib/bbab006. GitHub Repo

Honghan Wu, Huayu Zhang, Andreas Karwath, Zina Ibrahim, Ting Shi, Xin Zhang, Kun Wang, Jiaxing Sun, Kevin Dhaliwal, Daniel Bean, Victor Roth Cardoso, Kezhi Li, James T. Teo, Amitava Banerjee, Fang Gao-Smith, Tony Whitehouse, Tonny Veenith, Georgios V. Gkoutos, Xiaodong Wu, Richard Dobson, and Bruce Guthrie. Ensemble learning for poor prognosis predictions: a case study on SARS-CoV2. November 2020. Accepted by Journal of the American Medical Informatics Association: DOI:10.1093/jamia/ocaa295. GitHub Repo

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

recent publications (2017 ~)