William Whiteley
Orcid: 0000-0002-4816-8991
According to our database1,
William Whiteley
authored at least 20 papers
between 2019 and 2023.
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Bibliography
2023
Ontology-driven and weakly supervised rare disease identification from clinical notes.
BMC Medical Informatics Decis. Mak., December, 2023
Harmonising electronic health records for reproducible research: challenges, solutions and recommendations from a UK-wide COVID-19 research collaboration.
BMC Medical Informatics Decis. Mak., December, 2023
Understanding the performance and reliability of NLP tools: a comparison of four NLP tools predicting stroke phenotypes in radiology reports.
Frontiers Digit. Health, March, 2023
Segmentation of White Matter Hyperintensities and Ischaemic Stroke Lesions in Structural MRI.
Proceedings of the Medical Image Understanding and Analysis - 27th Annual Conference, 2023
2022
A survey on clinical natural language processing in the United Kingdom from 2007 to 2022.
npj Digit. Medicine, 2022
CoRR, 2022
2021
Comparison of rule-based and neural network models for negation detection in radiology reports.
Nat. Lang. Eng., 2021
Developing automated methods for disease subtyping in UK Biobank: an exemplar study on stroke.
BMC Medical Informatics Decis. Mak., 2021
BMC Medical Informatics Decis. Mak., 2021
Explainable automated coding of clinical notes using hierarchical label-wise attention networks and label embedding initialisation.
J. Biomed. Informatics, 2021
The reporting quality of natural language processing studies: systematic review of studies of radiology reports.
BMC Medical Imaging, 2021
2020
The considerations, experiences and support needs of family members making treatment decisions for patients admitted with major stroke: a qualitative study.
BMC Medical Informatics Decis. Mak., 2020
CoRR, 2020
Not a cute stroke: Analysis of Rule- and Neural Network-based Information Extraction Systems for Brain Radiology Reports.
Proceedings of the 11th International Workshop on Health Text Mining and Information Analysis, 2020
2019
A validated natural language processing algorithm for brain imaging phenotypes from radiology reports in UK electronic health records.
BMC Medical Informatics Decis. Mak., 2019
Named Entity Recognition for Electronic Health Records: A Comparison of Rule-based and Machine Learning Approaches.
CoRR, 2019