no code implementations • 3 Apr 2023 • Jaya Chaturvedi, Sumithra Velupillai, Robert Stewart, Angus Roberts
Mental health electronic health records are a good data source to study this overlap.
1 code implementation • 2 Oct 2020 • Zeljko Kraljevic, Thomas Searle, Anthony Shek, Lukasz Roguski, Kawsar Noor, Daniel Bean, Aurelie Mascio, Leilei Zhu, Amos A Folarin, Angus Roberts, Rebecca Bendayan, Mark P Richardson, Robert Stewart, Anoop D Shah, Wai Keong Wong, Zina Ibrahim, James T Teo, Richard JB Dobson
Electronic health records (EHR) contain large volumes of unstructured text, requiring the application of Information Extraction (IE) technologies to enable clinical analysis.
no code implementations • WS 2020 • Aurelie Mascio, Zeljko Kraljevic, Daniel Bean, Richard Dobson, Robert Stewart, Rebecca Bendayan, Angus Roberts
Text classification tasks which aim at harvesting and/or organizing information from electronic health records are pivotal to support clinical and translational research.
no code implementations • LREC 2020 • Jaya Chaturvedi, Natalia Viani, Jyoti Sanyal, Chloe Tytherleigh, Idil Hasan, Kate Baird, Sumithra Velupillai, Robert Stewart, Angus Roberts
The purpose of this analysis was to understand the complexity of medication mentions and their associated temporal information in the free text of EHRs, with a specific focus on the mental health domain.
no code implementations • LREC 2020 • Xingyi Song, Johnny Downs, Sumithra Velupillai, Rachel Holden, Maxim Kikoler, Kalina Bontcheva, Rina Dutta, Angus Roberts
Identifying statements related to suicidal behaviour in psychiatric electronic health records (EHRs) is an important step when modeling that behaviour, and when assessing suicide risk.
no code implementations • 7 Feb 2020 • Rebecca Bendayan, Honghan Wu, Zeljko Kraljevic, Robert Stewart, Tom Searle, Jaya Chaturvedi, Jayati Das-Munshi, Zina Ibrahim, Aurelie Mascio, Angus Roberts, Daniel Bean, Richard Dobson
Multimorbidity research in mental health services requires data from physical health conditions which is traditionally limited in mental health care electronic health records.
no code implementations • 18 Dec 2019 • Zeljko Kraljevic, Daniel Bean, Aurelie Mascio, Lukasz Roguski, Amos Folarin, Angus Roberts, Rebecca Bendayan, Richard Dobson
To uncover the potential of biomedical documents we need to extract and structure the information they contain.
1 code implementation • 12 Nov 2018 • Genevieve Gorrell, Xingyi Song, Angus Roberts
Ever-expanding volumes of biomedical text require automated semantic annotation techniques to curate and put to best use.
no code implementations • EMNLP 2018 • Xingyi Song, Johann Petrak, Angus Roberts
In the sentence classification task, context formed from sentences adjacent to the sentence being classified can provide important information for classification.
no code implementations • SEMEVAL 2015 • Hegler Tissot, Genevieve Gorrell, Angus Roberts, Leon Derczynski, Marcos Didonet Del Fabro