Učni načrt predmeta

Predmet:
IKT podpora v zdravstvenih ekspertnih sistemih na daljavo
Course:
ICT for eHealth Expert Systems
Študijski program in stopnja /
Study programme and level		 Študijska smer /
Study field		 Letnik /
Academic year		 Semester /
Semester
Informacijske in komunikacijske Računalniške strukture in si stemi 1 1
Information and Communication Computer Structures and System s 1 1
Vrsta predmeta / Course type
Izbirni
Univerzitetna koda predmeta / University course code:
IKT3-700
Predavanja
Lectures		 Seminar
Seminar		 Vaje
Tutorial		 Klinične vaje
work		 Druge oblike
študija		 Samost. delo
Individ. work		 ECTS
15 15 15 105 5

*Navedena porazdelitev ur velja, če je vpisanih vsaj 15 študentov. Drugače se obseg izvedbe kontaktnih ur sorazmerno zmanjša in prenese v samostojno delo. / This distribution of hours is valid if at least 15 students are enrolled. Otherwise the contact hours are linearly reduced and transfered to individual work.

Nosilec predmeta / Course leader:
prof. dr. Barbara Koroušič Seljak
Sodelavci / Lecturers:
Jeziki / Languages:
Predavanja / Lectures:
Slovenščina, angleščina / Slovenian, English
Vaje / Tutorial:
Pogoji za vključitev v delo oz. za opravljanje študijskih obveznosti:
Prerequisites:

Zaključen študij druge stopnje s področja informacijskih ali komunikacijskih tehnologij ali zaključen študij druge stopnje na drugih področjih z znanjem osnov s področja predmeta. Potrebna so tudi osnovna znanja matematike, računalništva in informatike.

Completed second cycle studies in information or communication technologies or completed second cycle studies in other fields with knowledge of fundamentals in the field of this course. Basic knowledge of mathematics, computer science and informatics is also requested.

Vsebina:
Content (Syllabus outline):

Znanstvena metoda:
strukture znanstvenega védenja, znanstvene aktivnosti in procesi

Računalniška podpora zdravstvu: uvod, zgodovinski razvoj področja

Modeliranje sistemov e-zdravje / m-zdravje: metodologije in metode za analizo in načrtovanje sistemov e-zdravje / m-zdravje; osnove načrtovanja (strukturni / objektno- orientirani postopki); sodobni postopki za izdelavo diagramov (npr. modeliranje po industrijskem standardu UML)

Napredne računalniške metode:
zajem, obdelava in analiza podatkov ter znanja

Izvedba sistemov e-zdravje / m-zdravje:
personalizirani uporabniški vmesniki, spletni portali in aplikacije, mobilne aplikacije, zbirke podatkov in znanja, varnostni in etični vidiki

Integracija sistemov e-zdravje / m-zdravje v okolje:
izmenjava podatkov, metode za testiranje in validacijo

Aplikacije v klinični prehrani

Scientific Method:
scientific knowledge structures, scientific activities / processes

Computational Scientific Discovery:
introduction, history of development of the area

Modeling of e-health and m-health systems:
software analysis and design - methods and methodologies; design basics - object oriented vs structured techniques; modern diagramming techniques (e.g. UML modeling)

Advanced computer methods:
capturing, processing and analysis of data and knowledge

Implementation of e-health and m-health systems:
dashboards, web-portals and applications, mobile apps, databases and knowledge bases, security and ethical aspects

Integration of e-health and m-health systems in the environment:
data exchange, methods for testing and validation

Applications in Clinical Nutrition

Temeljna literatura in viri / Readings:

Izbrana poglavja iz naslednjih knjig: / Selected chapters from the following books:
- E.J. Cooling; Real-Time Operating Systems. Lindentree Associates. UML Modeling, 2013.
- R. Nelson, N. Staggers. Health Informatics: An Interprofessional Approach. Elsevier, 2014. ISBN: 978-0-323-10095-3.
- E. Topol, The Creative Destruction of Medicine: How the Digital Revolution Will Create Better Health Care. Basic Books, 2012. ISBN 978-0-465-02550-3.

Cilji in kompetence:
Objectives and competences:

Cilj predmeta je seznaniti študenta s področjem sistemov e-zdravje in m-zdravje.

Kompetence študenta z uspešno zaključenim predmetom bodo vključevale razumevanje osnovnih pojmov iz področja, poznavanje sodobnih metod in znanje o primerih uporabe le-teh na vse bolj pomembnem znanstvenem področju (znanosti o klinični prehrani).

The goal of the course is to familiarize the student with e-health and m-health systems.

The competencies of the students completing this course successfully would include understanding of basic concepts from both areas, familiarity with state-of-the art methods, and knowledge of examples applications from the advancing scientific field (clinical nutrition).

Predvideni študijski rezultati:
Intendeded learning outcomes:

Študenti bodo z uspešno opravljenimi obveznostmi tega predmeta pridobili:
- strukture znanstvenega védenja, kot so znanstvene aktivnosti in procesi
- razumevanje konceptov modeliranja sistemov e-zdravje / m-zdravje
- pregled obstoječih nalog in metod za zajem, obdelavo in analizo podatkov ter znanja
- pregled obstoječih nalog in metod za izvedbo sistemov e-zdravje / m-zdravje
- pregled obstoječih nalog in metod za integracijo sistemov e-zdravje / m-zdravje v okolje
- sposobnost uporabe obstoječih metod na novih sistemih e-zdravje / m-zdravje
- sposobnost ugotavljanja primernosti metod za snovanje, izvedbo in validacijo sistemov e-zdravje / m-zdravje

Students successfully completing this course will acquire:
- Scientific knowledge structures, such as activities / processes
- Understanding concepts of modelling e-health / m-health systems
- Overview of existing tasks and methods for data and knowledge capturing, processing and analysis
- Overview of existing tasks and methods for implementing e-health / m-health systems
- Overview of existing tasks and methods for embedding e-health / m-health systems into external systems
- The ability to apply existing methods to new e-health / m-health systems
- The ability to identify whether methods for designing, implementation and validation of e-health / m-health systems are appropriate

Metode poučevanja in učenja:
Learning and teaching methods:

Predavanja, seminar, konzultacije, individualno delo

Lectures, seminar, consultancy, individual work

Načini ocenjevanja:
Delež v % / Weight in %
Assesment:
Seminarska naloga
50
Seminar work
Ustni zagovor seminarske naloge
50
Oral defense of seminar work
Reference nosilca / Lecturer's references:
1. B. Koroušić Seljak. Web-based eHealth applications with reference to food composition data. European journal of clinical nutrition, 64, S121-S127, 2010.
2. B. Koroušić Seljak, V. Stibilj, L. Pograjc, N. Fidler Mis, E. Benedik. Food composition databases for effective quality nutritional care. Food chemistry 140 (3), 553-561, 2013.
3. S. Mezgec, T. Eftimov, T. Bucher, B. Koroušić Seljak. Mixed deep learning and natural language processing method for fake-food image recognition and standardization to help automated dietary assessment. Public health nutrition. [in press] 2018, 10 str. ISSN 1368-9800.
4. G. Papa, B. Koroušić Seljak, P. Korošec, M. Piletič, I. Hren, M. Pavlin. Innovative pocket-size Bluetooth kitchen scale. Agro food industry hi-tech. 2018, vol. 29, no. 5, str. 29-32. ISSN 1722-6996.
5. B. Koroušić Seljak, D. Mlakar-Mastnak, Ž. Mrevlje, G. Veninšek, N. Rotovnik-Kozjek. A multi-center survey on hospital malnutrition and cachexia in Slovenia. European journal of clinical nutrition. [in press] 2019, 8 str. ISSN 0954-3007.