3 ECTS credits
90 u studietijd
Aanbieding 1 met studiegidsnummer 4021676ENR voor alle studenten in het 2e semester met een verdiepend master niveau.
Goal of the course
The goal of this course is to provide an overview of the field of clinical decision support. The role of decision support in clinical care is presented. Different types of approaches are explained, based on the type of data on which they operate, and the types of techniques which they employ.
A brief introduction to health information systems is given. Knowledge-based systems for decision support are introduced, including rule-based systems, fuzzy logic systems and Bayesian belief networks. Next, data-driven approaches are discussed, and several popular methods from machine learning are introduced. Specific attention is given to computer-aided diagnosis, for providing decision support for unstructured data such as biomedical signals and images. Methods for improving learning from data are desribed. Finally, considerations for system design, validation, certification and ethics are discussed.
Contents
Practical sessions and exercises:
The lectures are supported by 4 practical sessions, covering selected topics from the lectures:
Lectures will cover the theoretical part of the course. Practical sessions will consist of exercises in which the concepts seen during the lectures are applied. Practical sessions will be guided by assistants. Reports on the practical sessions can be finalized afterwards.
After completing this course, the student will be able to:
De beoordeling bestaat uit volgende opdrachtcategorieën:
Examen Mondeling bepaalt 65% van het eindcijfer
Examen Praktijk bepaalt 35% van het eindcijfer
Binnen de categorie Examen Mondeling dient men volgende opdrachten af te werken:
Binnen de categorie Examen Praktijk dient men volgende opdrachten af te werken:
Students must participate to the oral exam and complete the reports on the practical sessions. Students must pass both parts (oral exam and practical sessions) in order to pass the course. An exemption for either part can be obtained for the second session, if a passing grade was obtained for that part in the first session.
Deze aanbieding maakt deel uit van de volgende studieplannen:
Master in de ingenieurswetenschappen: toegepaste computerwetenschappen: Standaard traject
Master of Applied Sciences and Engineering: Applied Computer Science: Standaard traject (enkel aangeboden in het Engels)
Master in de ingenieurswetenschappen: computerwetenschappen: afstudeerrichting Artificiële Intelligentie
Master in de ingenieurswetenschappen: computerwetenschappen: afstudeerrichting Multimedia
Master in de ingenieurswetenschappen: computerwetenschappen: afstudeerrichting Software Languages and Software Engineering
Master in de ingenieurswetenschappen: computerwetenschappen: afstudeerrichting Data Management en Analytics
Master in Applied Sciences and Engineering: Computer Science: Artificial Intelligence (enkel aangeboden in het Engels)
Master in Applied Sciences and Engineering: Computer Science: Multimedia (enkel aangeboden in het Engels)
Master in Applied Sciences and Engineering: Computer Science: Software Languages and Software Engineering (enkel aangeboden in het Engels)