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Thanh Thieu, PhD

Program: Machine Learning

Overview

Dr. Thieu’s research interests center on using natural language processing (NLP) to process free text clinical notes in electronic health records and free text scientific reports in (bio)medical literature. His research spans whole-person functional status information, knowledge graph extraction, high throughput text mining, lexical complexity and language generation, and computer-assisted coding for healthcare and medical billing.


Associations

    • Machine Learning
    • Health Outcomes & Behavior Program

Education & Training

Graduate:

  • University of Missouri - PhD - Computer Science

Fellowship:

  • National Institute of Health Clinical Center, - Health Informatics
Research

Dr. Thieu’s research interests center on using natural language processing (NLP) to process free text clinical notes in electronic health records and free text scientific reports in (bio)medical literature. His research spans whole-person functional status information, knowledge graph extraction, high throughput text mining, lexical complexity and language generation, and computer-assisted coding for healthcare and medical billing.

Publications

  • Thieu T, Maldonado JC, Ho PS, Ding M, Marr A, Brandt D, Newman-Griffis D, Zirikly A, Chan L, Rasch E. A comprehensive study of mobility functioning information in clinical notes: Entity hierarchy, corpus annotation, and sequence labeling. Int J Med Inform. 2021 Mar.147:104351. Pubmedid: 33401169. Pmcid: PMC8104034.
  • Newman-Griffis D, Porcino J, Zirikly A, Thieu T, Camacho Maldonado J, Ho PS, Ding M, Chan L, Rasch E. Broadening horizons: the case for capturing function and the role of health informatics in its use. BMC Public Health. 2019 Oct.19(1):1288. Pubmedid: 31615472. Pmcid: PMC6794808.
  • Thieu T, Joshi S, Warren S, Korkin D. Literature mining of host-pathogen interactions: comparing feature-based supervised learning and language-based approaches. Bioinformatics. 2012 Mar.28(6):867-875. Pubmedid: 22285561.