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Developing automated methods for disease subtyping in UK Biobank: an exemplar study on stroke.

, , , , , and . BMC Medical Informatics Decis. Mak., 21 (1): 191 (2021)

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Automated clinical coding: what, why, and where we are?, , , , , , , and . npj Digital Medicine, (October 2022)A Systematic Review of Natural Language Processing Applied to Radiology Reports, , , , , , , , , and 2 other author(s). (2021)cite arxiv:2102.09553.New Insights into Stroke from Continuous Passively Collected Temperature and Sleep Data Using Wrist-Worn Wearables., , , and . Sensors, 23 (3): 1069 (February 2023)Automated Clinical Coding: What, Why, and Where We Are?, , , , , , and . (2022)cite arxiv:2203.11092.Harmonising electronic health records for reproducible research: challenges, solutions and recommendations from a UK-wide COVID-19 research collaboration., , , , , , , , , and 10 other author(s). BMC Medical Informatics Decis. Mak., 23 (1): 8 (December 2023)FastPET: Near Real-Time PET Reconstruction from Histo-Images Using a Neural Network., , , , , and . CoRR, (2020)Explainable Automated Coding of Clinical Notes using Hierarchical Label-wise Attention Networks and Label Embedding Initialisation, , , and . Journal of Biomedical Informatics, (2021)Named Entity Recognition for Electronic Health Records: A Comparison of Rule-based and Machine Learning Approaches., , , , , , , , and . CoRR, (2019)Explainable Automated Coding of Clinical Notes using Hierarchical Label-wise Attention Networks and Label Embedding Initialisation, , , and . (2020)cite arxiv:2010.15728Comment: Structured abstract in full text, 17 pages, 5 figures, 4 supplementary materials (3 extra pages), submitted to Journal of Biomedical Informatics.Ontology-Based and Weakly Supervised Rare Disease Phenotyping from Clinical Notes, , , , , , , , , and . (2022)cite arxiv:2205.05656Comment: 20 pages, 5 figures, submitted to Journal of Biomedical Informatics.