2021 Spring IPH5018 Biomedical NLP

 

Course Description

    • This class will introduce basic concept of natural language processing (NLP) and clinical applications of NLP.
    • The class will cover from traditional NLP to up-to-date deep learning-based NLP methods.
    • Highly recommend to take this class after “DHC5031 Introduction to Medical Informatics,” and “DHC5036 Machine Learning in Medicine.“ 
    • This class will consider the students know the intermediate knowledge in machine learning including deep learning and medical informatics.
    • Online only class (real-time streaming)

Instructor

    • Prof. Soo-Yong Shin (sy.shin (at) skku.edu)

Date & Room

Reference

    • None

Evaluation

    • Attendance: 10%
    • Presentation: 40%
      • Each student should present single biomedical NLP article
      • Candidate article list
      • Check your schedule on the file
      • You have to send presentation file before your presentation. (ex. every Wednesday)
      • The score will be measured by the presentation (including material) and discussion (when you are not the presenter)
    • Final Exam: 50%
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Final Term

Course Schedule

(course schedule can be changed.)

    1. 2/25: Course Introduction  & Intro NLP
    2. 3/4: Traditional NLP
    3. 3/11: NLP Example on Pubmed articles
    4. 3/18: Electronic Medical Records: Clinical Notes
    5. 3/25: Regular Expression & Clinical application
    6. 4/1: NLP using ML: Basic ML theory
    7. 4/8: Recurrent Neural Network
    8. 4/15: Sequence2Sequence Model
    9. 4/22: Word2Vec
    10. 4/29: BERT series on Medical Domain
    11. 5/6: Text CNN
    12. 5/13: Recent Clinical Applications (1)
    13. 5/20: Recent Clinical Applications (2)
    14. 5/27: Recent Clinical Applications (3)
    15. 6/3: Final Exam