Non-negative matrix factorization temporal topic models and clinical text data identify COVID-19 pandemic effects on primary healthcare and community health in Toronto, Canada. - Christopher Meaney; Michael D. Escobar; Rahim Moineddin; Therese A. Stukel; Sumeet Kalia; Babak Aliarzadeh; Tao Chen; Braden O'Neill; Michelle Greiver (J. Biomed. Informatics, 2022)

Comparing Variation in Tokenizer Outputs Using a Series of Problematic and Challenging Biomedical Sentences. - Christopher Meaney; Therese A. Stukel; Peter C. Austin; Michael D. Escobar (CoRR, 2023)

Using ICD-9 diagnostic codes for external validation of topic models derived from primary care electronic medical record clinical text data. - Christopher Meaney; Michael D. Escobar; Therese A. Stukel; Peter C. Austin; Sumeet Kalia; Babak Aliarzadeh; Rahim Moineddin; Michelle Greiver (Health Informatics J., 2023)

Can Patients with Dementia Be Identified in Primary Care Electronic Medical Records Using Natural Language Processing? - Laura C. Maclagan; Mohamed Abdalla 001; Daniel A. Harris; Therese A. Stukel; Branson Chen; Elisa Candido; Richard H. Swartz; Andrea Iaboni; Liisa Jaakkimainen; Susan E. Bronskill (J. Heal. Informatics Res., 2023)

Quality indices for topic model selection and evaluation: a literature review and case study. - Christopher Meaney; Therese A. Stukel; Peter C. Austin; Rahim Moineddin; Michelle Greiver; Michael D. Escobar (BMC Medical Informatics Decis. Mak., 2023)