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Time Expressions in Mental Health Records for Symptom Onset Extraction., , , , , , , , and . Louhi@EMNLP, page 183-192. Association for Computational Linguistics, (2018)Using clinical Natural Language Processing for health outcomes research: Overview and actionable suggestions for future advances., , , , , , , , , and 2 other author(s). J. Biomed. Informatics, (2018)Temporal information extraction from mental health records to identify duration of untreated psychosis., , , , , , , and . J. Biomed. Semant., 11 (1): 2 (2020)Identifying Suicidal Adolescents from Mental Health Records Using Natural Language Processing., , , , , and . MedInfo, volume 264 of Studies in Health Technology and Informatics, page 413-417. IOS Press, (2019)Analysing Meso and Macro conversation structures in an online suicide support forum., , , and . CoRR, (2020)Text Classification to Inform Suicide Risk Assessment in Electronic Health Records., , , and . MedInfo, volume 264 of Studies in Health Technology and Informatics, page 40-44. IOS Press, (2019)Clinical History Segment Extraction from Chronic Fatigue Syndrome Assessments to Model Disease Trajectories., , , , , , , and . MIE, volume 270 of Studies in Health Technology and Informatics, page 98-102. IOS Press, (2020)Detection of Suicidality in Adolescents with Autism Spectrum Disorders: Developing a Natural Language Processing Approach for Use in Electronic Health Records., , , , , , , and . AMIA, AMIA, (2017)Using Deep Neural Networks with Intra- and Inter-Sentence Context to Classify Suicidal Behaviour., , , , , , , and . LREC, page 1303-1310. European Language Resources Association, (2020)