Akademik Dersler - Tanıtım

Last Updated: 21/08/2026

Code - Course Title	Course Type	Laboratory + Practice	ECTS
DSS210 - Natural Language Processing and Clinical Text Mining	IV. SEMESTER	2 +2	4.0

Language of Instruction	Türkçe
Course Type	Area Elective Courses
Course Instructor(s)	ÖĞR. GÖR. DR. ÜMİT YILMAZ YILDIZ
Mode of Delivery	Face to Face
Place of Delivery
Used Educational Platforms
Prerequisites	There are no prerequisites and co-requisites for this class
Courses Recomended	None
Recommended Resources	None
Work Placement	None
Aims of the Course

Weeks	Learning Outcomes	Topics	Teaching Methods
Week - 1		Introduction to Natural Language Processing (NLP): Basic Concepts and Application Areas
Week - 2		Text Preprocessing Techniques: Tokenization, Stemming, and Stop-Word Removal
Week - 3		Structure of Clinical Text and Characteristics of Free-Text Data
Week - 4		Extracting Clinical Concepts through Named Entity Recognition (NER)
Week - 5		Extracting Diagnosis, Medication, and Symptom Information from Clinical Text
Week - 6		Text Classification and Sentiment Analysis Methods
Week - 7		Rule-Based and Statistical Approaches in Clinical Text Mining
Week - 8		Midterm Exam
Week - 9		Applying Deep Learning-Based Language Models to Clinical Text
Week - 10		Converting Free Text in Electronic Health Records into Structured Data
Week - 11		Data Privacy and Ethical Issues in NLP Applications
Week - 12		Use of NLP in Clinical Decision Support Systems
Week - 13		Clinical Text Mining Studies with Current Tools and Applied Examples
Week - 14		Final Exam

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Assessment Method and Passing Requirements
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