Hervanta Campus

Tampere

Open University

The completion of the course is based on the final examination and possible other tasks during the course. The assignments are specified at the beginning of the implementation. Study methods: Lectures and voluntary exercises gaining bonus points for the final exam. The course includes an electronic Exam. The student takes the exam at a time of their choosing in the EXAM facilities. Please familiarize yourself with the <a href="https://www.tuni.fi/en/students-guide/handbook/uni/studying-0/examinations/electronic-exams" target="_blank" rel="noopener noreferrer">instructions for taking the Exam</a>.

Faculty of Medicine and Health Technology

English

Upon successful completion of this course, the student:<ul><li>Understands and can independently formulate data-analysis requirements associated with different healthcare decision making tasks (risk assessment, early diagnosis, differential diagnosis, treatment planning, and treatment follow-up) </li><li>Can recognize what kind of approaches (data-driven, rule-based, mechanistic models etc) are most appropriate for what decision-making challenge</li><li>Has knowledge of, and knows how to select and apply methods for data curation and quality assurance</li><li>Has an understanding of the most common feature extraction and feature selection methods</li><li>Has gained knowledge of the most common AI/ML methods for advanced decision support</li><li>Understands how to objectively assess the performance of AI/ML methods in common healthcare decision support settings</li><li>Understands considerations such as
explainability, privacy-preservation, bias and ethics in computer-based
decision support in health and know which tools are available to address these.</li></ul>

There are no strict requirements, but the exercises (not strictly obligatory to pass the course, but highly recommended) will use some basic Python programming. So entry-level Python familiarity is helpful.

<h3>Lectures</h3><h4>Exercise: </h4>22.10.2025 14.00 - 22.10.2025 16.00, TAU Sähkötalo SM207 opetustila (30) 29.10.2025 14.00 - 29.10.2025 16.00, TAU Sähkötalo SM207 opetustila (30) 05.11.2025 14.00 - 05.11.2025 16.00, TAU Sähkötalo SM207 opetustila (30) 12.11.2025 14.00 - 12.11.2025 16.00, TAU Sähkötalo SM207 opetustila (30) 19.11.2025 14.00 - 19.11.2025 16.00, TAU Sähkötalo SM207 opetustila (30) 26.11.2025 14.00 - 26.11.2025 16.00, TAU Sähkötalo SM207 opetustila (30) <h4>Lecture: </h4>20.10.2025 14.00 - 20.10.2025 16.00, TAU Sähkötalo SM207 opetustila (30) 23.10.2025 12.00 - 23.10.2025 14.00, TAU Sähkötalo SM207 opetustila (30) 27.10.2025 14.00 - 27.10.2025 16.00, TAU Sähkötalo SM207 opetustila (30) 30.10.2025 12.00 - 30.10.2025 14.00, TAU Sähkötalo SM207 opetustila (30) 03.11.2025 14.00 - 03.11.2025 16.00, TAU Sähkötalo SM207 opetustila (30) 06.11.2025 12.00 - 06.11.2025 14.00, TAU Sähkötalo SM207 opetustila (30) 10.11.2025 14.00 - 10.11.2025 16.00, TAU Sähkötalo SM207 opetustila (30) 13.11.2025 12.00 - 13.11.2025 14.00, TAU Sähkötalo SM207 opetustila (30) 17.11.2025 14.00 - 17.11.2025 16.00, TAU Sähkötalo SM207 opetustila (30) 20.11.2025 12.00 - 20.11.2025 14.00, TAU Sähkötalo SM207 opetustila (30) 24.11.2025 14.00 - 24.11.2025 16.00, TAU Sähkötalo SM207 opetustila (30) 27.11.2025 12.00 - 27.11.2025 14.00, TAU Sähkötalo SM207 opetustila (30) 01.12.2025 14.00 - 01.12.2025 16.00, TAU Sähkötalo SM207 opetustila (30) 04.12.2025 12.00 - 04.12.2025 14.00, TAU Sähkötalo SM207 opetustila (30)

TUNI Moodle: BBT.HTI.509-2025-2026-1 Decision Support in Healthcare (Lectures)

Lectures, autumn 2025

The completion of the course is based on the final examination and possible other tasks during the course. The assignments are specified at the beginning of the implementation. Study methods: Lectures and voluntary exercises gaining bonus points for the final exam. The course includes an electronic Exam. The student takes the exam at a time of their choosing in the EXAM facilities. Please familiarize yourself with the <a href="https://www.tuni.fi/en/students-guide/handbook/uni/studying-0/examinations/electronic-exams" target="_blank" rel="noopener noreferrer">instructions for taking the Exam</a>.<a href="https://www.tuni.fi/en/study-with-us/open-higher-education-studies/open-university" target="_blank" rel="noopener noreferrer">More information about studying at the Open University</a>.

Multi-modal teaching

Independent studies

Technology and Natural Sciences

Advanced studies

Lecture notes and possible reading material announced during the course.

The course provides the students with knowledge and tools for developing data-driven decision support in healthcare applications

BBT.HTI.509 Decision Support in Healthcare, 5 cr

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