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NLP Detection of Mortality Information from Publicly Available Data Using Deep Learning Modeling

    Basic Details

    This poster outlines the design and implementation of a natural language processing (NLP) pipeline that can identify and extract the date of death, date of birth, and name of the deceased from multiple publicly available sources. 

    It was presented at the 39th International Conference on Pharmacoepidemiology and Therapeutic Risk Management. 


    Mohammed A. Al-Garadi, Michael E. Matheny, Rishi J Desai, Mirza S. Khan, Shirley V. Wang, Judith C. Maro, Candace C. Fuller , Kueiyu Joshua Lin, José J. Hernández-Muñoz, Aida Kuzucan, Xi Wang, Jill M. Whitaker, Jessica A. Deere, Michael F. McLemore, Dax Westerman, Josh Osmanski, Ruth Reeves