Rina Dutta
Orcid: 0000-0002-5614-8659
According to our database1,
Rina Dutta
authored at least 12 papers
between 2016 and 2020.
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Bibliography
2020
CoRR, 2020
Temporal information extraction from mental health records to identify duration of untreated psychosis.
J. Biomed. Semant., 2020
Clinical History Segment Extraction from Chronic Fatigue Syndrome Assessments to Model Disease Trajectories.
Proceedings of the Digital Personalized Health and Medicine - Proceedings of MIE 2020, Medical Informatics Europe, Geneva, Switzerland, April 28, 2020
Using Deep Neural Networks with Intra- and Inter-Sentence Context to Classify Suicidal Behaviour.
Proceedings of The 12th Language Resources and Evaluation Conference, 2020
2019
Identifying Suicidal Adolescents from Mental Health Records Using Natural Language Processing.
Proceedings of the MEDINFO 2019: Health and Wellbeing e-Networks for All, 2019
Proceedings of the MEDINFO 2019: Health and Wellbeing e-Networks for All, 2019
2018
Using clinical Natural Language Processing for health outcomes research: Overview and actionable suggestions for future advances.
J. Biomed. Informatics, 2018
Proceedings of the Ninth International Workshop on Health Text Mining and Information Analysis, 2018
Hierarchical neural model with attention mechanisms for the classification of social media text related to mental health.
Proceedings of the Fifth Workshop on Computational Linguistics and Clinical Psychology: From Keyboard to Clinic, 2018
2017
Detection of Suicidality in Adolescents with Autism Spectrum Disorders: Developing a Natural Language Processing Approach for Use in Electronic Health Records.
Proceedings of the AMIA 2017, 2017
2016
Don't Let Notes Be Misunderstood: A Negation Detection Method for Assessing Risk of Suicide in Mental Health Records.
Proceedings of the 3rd Workshop on Computational Linguistics and Clinical Psychology: From Linguistic Signal to Clinical Reality, 2016
Proceedings of the 3rd Workshop on Computational Linguistics and Clinical Psychology: From Linguistic Signal to Clinical Reality, 2016