A survey of word embeddings for clinical text. - Faiza Khan Khattak; Serena Jeblee; Chloé Pou-Prom; Mohamed Abdalla 001; Christopher Meaney; Frank Rudzicz (J. Biomed. Informatics X, 2019)

A Comparative Evaluation Of Transformer Models For De-Identification Of Clinical Text Data. - Christopher Meaney; Wali Hakimpour; Sumeet Kalia; Rahim Moineddin (CoRR, 2022)

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)

Marginal Structural Models Using Calibrated Weights With SuperLearner: Application to Type II Diabetes Cohort. - Sumeet Kalia; Olli Saarela; Tao Chen; Braden O'Neill; Christopher Meaney; Jessica L. Gronsbell; Ervin Sejdic; Michael D. Escobar; Babak Aliarzadeh; Rahim Moineddin; Conrad Pow; Frank M. Sullivan; et al. (IEEE J. Biomed. Health 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)

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)