Annotating Temporal Information in Clinical Notes for Timeline Reconstruction: Towards the Definition of Calendar Expressions

1 code implementation • WS 2019 • Natalia Viani, Hegler Tissot, Ariane Bernardino, Sumithra Velupillai

To automatically analyse complex trajectory information enclosed in clinical text (e. g. timing of symptoms, duration of treatment), it is important to understand the related temporal aspects, anchoring each event on an absolute point in time.

Time Expressions in Mental Health Records for Symptom Onset Extraction

2 code implementations • WS 2018 • Natalia Viani, Lucia Yin, Joyce Kam, Ayunni Alawi, Andr{\'e} Bittar, Rina Dutta, Rashmi Patel, Robert Stewart, Sumithra Velupillai

Natural Language Processing (NLP) methods can be used to extract this data, in order to identify symptoms and treatments from mental health records, and temporally anchor the first emergence of these.

Temporal Information Extraction

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.