Clinical Decision Support Systems
Instance: 2020/2021 - 2S (of 08-02-2021 to 30-07-2021)
Cycles of Study/Courses
Teaching Staff - Responsibilities
Teaching - Hours
|Theoretical and practical :
The main objective of this discipline is to provide necessary and general concepts of clinical decision support systems to students.
Learning outcomes and competences
Define strategies for clinicial decision support;
● Define strategies for clinicial decision support;
● Identify models for the clinical decision support;
● Interpret and evaluate classic clinical decision support systems;
● Interpret and evaluate advanced clinical decision support systems;
● Design, implement and evaluate clinical decision support systems;
● Develop critical thinking.
Deduction, Induction and the process of clinical decision support
Forms of Knoweldge Representation
Examples of clinical decision support systems
Development, implementation and evaluation of strategies for decision support
Medical Guidelines to support clinical decision
Algorithms for clinical decision support
Reasoning with uncertainty
Machine learning for clinical decision support
Interpretation and evaluation of clinical decision support models
E. Berner; Clinical decision support systems: theory and practice, Springer, 2006 (ISBN 0387339140)
Robert A. Greenes; Clinical Decision Support: The Road Ahead (ISBN-10: 0123693772)
Jerome A. Osheroff, Jonathan M. Teich, Donald Levick, Luis Saldana, Ferdinand T. Velasco, Dean F. Sittig, Kendall M. Rogers and Robert A. Jenders; Improving Outcomes with Clinical Decision Support: An Implementer’s Guide, HIMMS
S. Brahnam, L.C. Jain (Eds.); Advanced Computational Intelligence Paradigms in Healthcare 5, 2011 (ISBN 978-3-642-16094-3)
P. Lucas, J.A. Gámez, A. Salmerón Cerdan (Eds.); Advances in Probabilistic Graphical Models, 2007 (ISBN 978-3-642-08854-4)
M. Schmitt, H.-N. Teodorescu, A. Jain, A. Jain, S. Jain (Eds.); Computational Intelligence Processing in Medical Diagnosis, 2002 (ISBN 978-3-7908-1463-7)
Teaching methods and learning activities
Teaching methodologies: Theorectical classes about the topics. Practical classes to solve basic and more complex problems in clinical decision.
Evaluation methodologies: Final exam (12 points) and group assignment (8 points).
Distributed evaluation with final exam
Amount of time allocated to each course unit
|Apresentação/discussão de um trabalho científico
|Frequência das aulas
Eligibility for exams
Delivery of an assignment during the evaluation process.
Calculation formula of final grade
Evaluation methodologies: Final exam (10 points), group assignment (7 points) and individual assignments along the curricular unit (3 valores)