醫學文件探
Medical Text Mining

劉瑞瓏
Rey-Long Liu

2018/2/26

 

 

Goal:

Learning the techniques to represent, discover, and retrieve information and knowledge from biomedicine texts


Prerequisite:

Programming and Data Structure.


Content:

[1] Introduction: Goal and scope of medical text mining

[Part I: Text Retrieval]

[2] Medical text retrieval (I)

[3] Medical text retrieval (II)

[4] Literature review I (oral presentation)

[Part II: Data Interpretation]

[5] Ontology for medical concept representation

[6] Named entities recognition (I)

[7] Named entities recognition (II)

[8] Annotation

[9] Midterm examination

[10] Literature review II (oral presentation)

[Part III: Extraction of Biomedical Information]

[11] Extraction of healthcare information

[12] Extraction of bilogical interactions

[13] Literature review III (oral presentation)

[Part IV: Knowledge Discovery from Multiple Texts]

[14] Navigation on multiple texts

[15] Summarization from texts

[16] Cross-reference analysis & Summary

[17] Literature review IV (final oral presentation)

[18] Final examination

 

Grading:

1. Literature review report (written, 50%)

2. Literature review report (oral, 10%)

3. Midterm examination (20%)

4. Final examination (20%)

 

Reference:

Publications in related conferences (e.g. ACM SIGIR, ACM SIGKDD, and TREC), workshops (e.g. Knowledge Discovery in Life Science Literature), and periodicals (e.g. Bioinformatics).

 

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