University of Malta
 

Study-Unit Description
UOM Main Page
 
 
 
Apply - Admissions 2016
Newspoint
Campus Map button
Facebook
Twitter


CODE CIS5211

 
TITLE Medical Informatics

 
LEVEL 05 - Postgraduate Modular Diploma or Degree Course

 
ECTS CREDITS 5

 
DEPARTMENT Computer Information Systems

 
DESCRIPTION This study-unit introduces several topics, including:

- An introduction to medical informatics (including clinical informatics and public health informatics);
- Medical image processing principles and techniques including magnetic resonance imaging (MRI), functional MRI (fMRI), nuclear MRI, diffusion MRI, electrocardiography (ECG), electroencephalography (EEG), magnetoencephalography (MEG) and others;
- Brain computer interface (BCI);
- Clinical decision support systems (CDSS) including knowledge based CDSS, non-knowledge based (evidence based) CDSS;
- Information management in health and social care (including hospital databases and electronic patient records, characterizing admission and discharge patterns, resource requirements forecasting and allocation and budgetary analysis);
- Handling missing data (including missing data analysis methods and tools);
- Ambient assisted living and tele-medicine (including smart homes, remote patient monitoring and sensor networks, analysis and interpreting of sensor data);
- Genomics data, gene expression images, genomics data analysis and genomic data mining;
- Text mining in medicine (including medical ontologies, semantic interpretation in medicine, semantic text parsing for patient records, IBM-Watson and its application in medical informatics).

Study-unit Aims:

This study-unit helps students to prepare for a career in Medical Informatics. It introduces some of the biomedical problem areas, which can potentially be tackled through machine learning and digital signal processing. The emphasis would be on analysing how these techniques can be used to process biomedical information and solve related issues. The topics listed above are for guidance only. New topics can be added or some topics might be omitted based on interest and latest developments in the field.

Learning Outcomes:

1. Knowledge & Understanding:
By the end of the study-unit the student will be able to:

- Describe some of the biomedical problem areas which have potential of applications of machine learning and digital signal processing;
- Analyse issues in the biomedical domain and how these can be tackled via machine learning and digital signal processing;
- Describe how machine learning can help improving decision making and process control in biomedicine.

2. Skills:
By the end of the study-unit the student will be able to:

- Analyse biomedical problem areas which have potential of applications of machine learning and digital signal processing;
- Apply appropriate machine learning methods to develop solutions and tools to help processing biomedical information to improve decision-making and process control in biomedicine.

Main Text/s and any supplementary readings:

Main Text/s:

- Medical Informatics: Knowledge Management and Data Mining in Biomedicine, by Hsinchun Chen, Springer, 19 Jul 2006.
- Principles of Biomedical Informatics, by Ira J. Kalet Academic Press; 2nd edition (13 Nov 2013), ISBN: 9780124160194.

Supplementary readings:

- Biomedical Informatics: Computer Applications in Health Care and Biomedicine (Health Informatics), by Edward H. Shortliffe (Editor), James J. Cimino (Editor), Springer; 4th ed. 2014 edition (December 20, 2013).
- Applied Medical Image Processing: A Basic Course by Wolfgang Birkfellner, CRC Press, September 17, 2010, SBN: 978- 1439824443.
- Advances in Intelligent Analysis of Medical Data and Decision Support Systems, by Kountchev, Roumen; Iantovics, Barna (Eds.), Springer; 2013 edition (May 31, 2013), ISBN: 978-3319000282.
- Wireless Technologies for Ambient Assisted Living and Healthcare: Systems and Applications by Athina Lazakidou, Konstantinos Siassiakos and Konstantinos Ioannou, Inf. Science Pub, 2010.
- Unified modelling for Care of the Elderly, by Dr Lalit Garg, PhD thesis, University of Ulster, UK.

 
STUDY-UNIT TYPE Lecture, Independent Study and Project

 
METHOD OF ASSESSMENT
Assessment Component/s Resit Availability Weighting
Assignment Yes 50%
Examination (1 Hour and 30 Minutes) Yes 50%

 
LECTURER/S

 
The University makes every effort to ensure that the published Courses Plans, Programmes of Study and Study-Unit information are complete and up-to-date at the time of publication. The University reserves the right to make changes in case errors are detected after publication.
The availability of optional units may be subject to timetabling constraints.
Units not attracting a sufficient number of registrations may be withdrawn without notice.
It should be noted that all the information in the study-unit description above applies to the academic year 2017/8, if study-unit is available during this academic year, and may be subject to change in subsequent years.
Calendar
Notices
Study-unit Registration Forms 2017/8

Register

For Undergraduate (Day) and Postgraduate students.

 

Faculty of ICT Timetables

Timetables

ICT Timetables are available from Here.

Health and Safety Regulations for Laboratories Form

The Faculty of ICT Health and Safety Regulations for Laboratories form can be found here

 HealthAndSafety

13th Edition of EY’s Annual Attractiveness Event

 Logo

 

 

The 13th Edition of EY’s Annual Attractiveness event will be held on 25th October 2017 at the InterContinental Hotel,

St. Julians. It is titled "Thinking without the box: disruption, technology and FDI".

 

The  students' invitation and more information can be found here

The conference programme can be found here

 

 
 

Log In back to UoM Homepage