Search Results for author: Angus Roberts

Found 13 papers, 2 papers with code

Comparative Analysis of Text Classification Approaches in Electronic Health Records

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.

General Classification text-classification +1

Development of a Corpus Annotated with Medications and their Attributes in Psychiatric Health Records

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.

Using Deep Neural Networks with Intra- and Inter-Sentence Context to Classify Suicidal Behaviour

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.

Classification General Classification

Identifying physical health comorbidities in a cohort of individuals with severe mental illness: An application of SemEHR

no code implementations7 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.

Bio-YODIE: A Named Entity Linking System for Biomedical Text

1 code implementation12 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.

Entity Linking

A Deep Neural Network Sentence Level Classification Method with Context Information

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.

Classification General Classification +1

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