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Dr Andre Bittar

Former staff

End date: 31/10/2022

ORCID: 0000-0001-6587-0080

Scopus Author ID: 55146647600

Department

Biostatistics & Health Informatics

Latest Research Outputs

Automatic Detection of Expressed Emotion from Five-Minute Speech Samples: Challenges and Opportunities
Mirheidari, B., Bittar, A., Cummins, N., Downs, J., Fisher, H. L. & Christensen, H., 30 Mar 2022.
Research output: Working paper/Preprint › Preprint
Using natural language processing to extract self-harm and suicidality data from a clinical sample of patients with eating disorders: A retrospective cohort study
Cliffe, C., Seyedsalehi, A., Vardavoulia, K., Bittar, A., Velupillai, S., Shetty, H., Schmidt, U. & Dutta, R., 31 Dec 2021, In: BMJ Open. 11, 12, e053808.
Research output: Contribution to journal › Article › peer-review
Developing a Natural Language Processing tool to identify perinatal self-harm in electronic healthcare records
Ayre, K., Bittar, A., Kam, J., Verma, S., Howard, L. M. & Dutta, R., Aug 2021, In: PLoS ONE. 16, 8 August, p. e0253809 e0253809.
Research output: Contribution to journal › Article › peer-review
Using General-purpose Sentiment Lexicons for Suicide Risk Assessment in Electronic Health Records: Corpus-Based Analysis
Bittar, A., Velupillai, S., Roberts, A. & Dutta, R., 13 Apr 2021, In: JMIR Medical Informatics. 9, 4, p. e22397 e22397.
Research output: Contribution to journal › Article › peer-review

View all (13) »

Top downloads

Temporal Information Extraction from Mental Health Records to Identify Duration of Untreated Psychosis
Research output: Contribution to journal › Article › peer-review
140
downloads
Time Expressions in Mental Health Records for Symptom Onset Extraction
Research output: Chapter in Book/Report/Conference proceeding › Conference paper › peer-review
137
downloads
Text Classification to Inform Suicide Risk Assessment in Electronic Health Records
Research output: Chapter in Book/Report/Conference proceeding › Conference paper › peer-review
133
downloads
Identifying Suicidal Adolescents from Mental Health Records using Natural Language Processing
Research output: Chapter in Book/Report/Conference proceeding › Conference paper › peer-review
110
downloads
Identifying Suicidal Adolescents from Mental Health Records Using Natural Language Processing
Research output: Contribution to journal › Article › peer-review
68
downloads

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