Module CS4356-KP06

Duration

1 Semester

Turnus of offer

irregularly in the summer semester

Credit points

6

Course of studies, specific fields and terms:

• Master Medical Informatics 2019, advanced module, Medical Data Science / Artificial Intelligence

Classes and lectures:

• Medical Information Retrieval (practical course, 1 SWS)
• Medical Information Retrieval (exercise, 2 SWS)
• Medical Information Retrieval (lecture, 2 SWS)

Workload:

• 40 hours exam preparation
• 65 hours private studies
• 75 hours in-classroom work

Contents of teaching:

• Introduction to Medical Information Retrieval (MIR)
• Main Components and Classification of MIR Systems
• Metadata of Medical Information Retrieval Systems
• Evaluation of Medical Information Retrieval Systems
• Set Theoretic Model: Boolean Retrieval
• Set Theoretic Model: Fuzzy Retrieval
• Vector Space Model: Similarity Measures
• Vector Space Model: Distance Functions
• Vector Space Model: Latent Semantic Indexing
• Probabilistic Model
• Text-based Retrieval of Medical Information
• Audio-based Retrieval of Medical Information
• Image-based Retrieval of Medical Information
• Demonstrators from Current Research Projects
• Summary and Conclusions

Qualification-goals/Competencies:

• Students have an overview of known MIR approaches and are able to motivate their application from the medical perspective.
• Students know the general approach towards medical information retrieval.
• Students are able to distinguish medical information retrieval from other related terms.
• Students know fundamental methods of metadata modelling for medical information retrieval.
• Students are able to quantitatively evaluate MIR systems and to interpret this evaluation.
• Students know selected set theoretical approaches for medical information retrieval.
• Students know selected MIR approaches following the concept of vector space model.
• Students know selected probabilistic approaches for medical information retrieval.
• Students know fundamental approaches for text-based medical information retrieval.
• Students know fundamental approaches for audio-based medical information retrieval.
• Students know fundamental approaches for image-based medical information retrieval.
• Students know objectives and function of software systems from selected current research projects related to MIR.
• Students know selected ethical aspects related medical information retrieval systems.

Grading through:

• written exam

Responsible for this module:

• Prof. Dr.-Ing. Marcin Grzegorzek

Teacher:

• Institute of Medical Informatics
• Prof. Dr.-Ing. Marcin Grzegorzek

Literature:

• Christopher D. Manning, Prabhakar Raghavan, and Hinrich Schütze : Introduction to Information Retrieval ISBN: 978-0-521-86571-5
• William Hersh : Information Retrieval: A Health and Biomedical Perspective ISBN: 978-0-387-78702-2

Language:

• offered only in English

Notes:

Last Updated:

21.10.2024