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Ankica Babic's picture
  • E-mailAnkica.Babic@uib.no
  • Phone+47 55 58 91 39
  • Visitor Address
    Fosswinckelsgt. 6
    Room 
    518
  • Postal Address
    Postboks 7802
    5020 Bergen

My research area is Medical Informatics and includes projects that are carried out in close cooperation with healthcare professionals and medical experts. Some of the goals of this research is to gather knowledge from medical data and improve the flow of information in healthcare systems. The information systems that are being evaluated, designed and developed in this research can be anything from web-based systems, databases or mobile applications.

Selected publications
  • Gharehbaghi, Arash; Ask, Per; Babic, Ankica. 2015. A pattern recognition framework for detecting dynamic changes on cyclic time series. Pattern Recognition. 48: 696-708. doi: 10.1016/j.patcog.2014.08.017
  • Berntsen, Eirik; Babic, Ankica. 2014. Information System for Postmarket Surveillance of Total Joint Prostheses.
  • Kanza, Grace Benjamin; Babic, Ankica. 2014. Data mining in cancer registries: A case for design studies. International Federation for Medical and Biological Engineering Proceedings. 41: 1417-1420. doi: 10.1007/978-3-319-00846-2_351
  • Andersen, Per-Øivind Berg; Babic, Ankica. 2014. Self-reporting for bipolar patients through smartphone. International Federation for Medical and Biological Engineering Proceedings. 41: 1358-1361. doi: 10.1007/978-3-319-00846-2_336

I have taught and lectured in the following bachelor and master level courses:

  • Basic Course in Information Science (INFO100)
  • Social Science Perspectives (SV100)
  • Datahåndtering (INFO125)
  • Data Management (INFO212)
  • Research Project Design (INFOMEVI300)
  • Data Architectures for Information Retrieval and Web Intelligence (INFO323)
  • Advanced Topics in Artificial Intelligence (INFO381)
Journal articles
  • Ellison, Peter; Høl, Paul Johan; Babic, Ankica. 2018. An individual patient outcome tool for joint replacement patients. Studies in Health Technology and Informatics. 251: 129-132. doi: 10.3233/978-1-61499-880-8-129
  • Gesicho, Milka Bochere; Babic, Ankica. 2018. Using Innovation-Decision Model to Describe the Adoption to Utilization of HIV-Data for Decision-Making in LMICs. Studies in Health Technology and Informatics. 251: 117-120. doi: 10.3233/978-1-61499-880-8-117
  • Gesicho, Milka Bochere; Babic, Ankica. 2018. Task-Based Approach Recommendations to Enhance Data Visualization in the Kenya National Health Data Warehouse. International Federation for Medical and Biological Engineering Proceedings. volume 68/1: 467-470. Published 2018-05-30. doi: https://doi.org/10.1007/978-981-10-9035-6_86
  • Tonheim, Aleksander Nygård; Babic, Ankica. 2018. User Evaluation of a Multiple Sclerosis Self-Management Mobile Application. Studies in Health Technology and Informatics. 251: 233-236. doi: 10.3233/978-1-61499-880-8-233
  • Tonheim, Aleksander Nygård; Babic, Ankica. 2018. Assessing Information Needs for a Personal Multiple Sclerosis Application. Studies in Health Technology and Informatics. 247: 486-490. doi: 10.3233/978-1-61499-852-5-486
  • Tonheim, Aleksander Nygård; Babic, Ankica. 2018. Multiple Sclerosis Application Design with Medical Expert Evaluation. International Federation for Medical and Biological Engineering Proceedings. 68: 457-461. doi: https://doi.org/10.1007/978-981-10-9035-6_84
  • Babic, Ankica; Gharehbaghi, Arash; Sepehri, Amir A; Lindén, Maria. 2017. A Hybrid Machine Learning Method for Detecting Cardiac Ejection Murmurs. International Federation for Medical and Biological Engineering Proceedings. 65. doi: /10.1007/978-981-10-5122-7_197
  • Gesicho, Milka Bochere; Babic, Ankica; Were, Martin C. 2017. Critical issues in evaluating national-level health data warehouses in LMICs: Kenya case study. Studies in Health Technology and Informatics. 238: 201-204. doi: 10.3233/978-1-61499-781-8-201
  • Gharehbaghi, Arash; Lindén, Maria; Babic, Ankica. 2017. A Decision Support System for Cardiac Disease Diagnosis Based on Machine Learning Methods. Studies in Health Technology and Informatics. 235: 43-47. doi: 10.3233/978-1-61499-753-5-43
  • Gharehbaghi, Arash; Sepehri, Amir A; Linden, Maria; Babic, Ankica. 2017. Intelligent phonocardiography for screening ventricular septal defect using time growing neural network. Studies in Health Technology and Informatics. 238: 108-111. doi: 10.3233/978-1-61499-781-8-108
  • Hucikova, Anezka; Babic, Ankica. 2017. Medical informatics idle youtube potential. Studies in Health Technology and Informatics. 238: 132-135. doi: 10.3233/978-1-61499-781-8-132
  • Krumsvik, Ole Andreas; Babic, Ankica. 2017. Designing an E-Learning Platform for Postoperative Arthroplasty Adverse Events. Studies in Health Technology and Informatics. 235: 348-352. doi: 10.3233/978-1-61499-753-5-348
  • Krumsvik, Ole Andreas; Babic, Ankica. 2017. Designing a safety reporting smartphone application to improve patient safety after total hip arthroplasty. Studies in Health Technology and Informatics. 238: 84-87. doi: 10.3233/978-1-61499-781-8-84
  • Mugisha, Alice Nandawula; Babic, Ankica; Wakholi, Peter; Nankabirwa, Victoria; Tylleskär, Thorkild. 2017. Usability in mobile electronic data collection tools: Form developers' views. Studies in Health Technology and Informatics. 238: 72-75. doi: 10.3233/978-1-61499-781-8-72
  • Tufte, Trond Kjetil Bakken; Babic, Ankica. 2017. A healthy lifestyle intervention application. Studies in Health Technology and Informatics. 245: 240-243. doi: 10.3233/978-1-61499-830-3-240
  • Tufte, Trond Kjetil Bakken; Babic, Ankica. 2017. Effect of social media in a mHealth application. Studies in Health Technology and Informatics. 238: 120-123. doi: 10.3233/978-1-61499-781-8-120
  • Waruhari, Philomena; Babic, Ankica; Nderu, Lawrence; Were, Martin C. 2017. A review of current patient matching techniques. Studies in Health Technology and Informatics. 238: 205-208. doi: 10.3233/978-1-61499-781-8-205
  • Åserød, Hanne; Babic, Ankica. 2017. Designing a mobile system for safety reporting of arthroplasty adverse events. International Federation for Medical and Biological Engineering Proceedings. 65: 571-574. doi: 10.1007/978-981-10-5122-7_143
  • Åserød, Hanne; Babic, Ankica. 2017. Pharmacovigilance mobile tool design in the field of arhroplasty. Studies in Health Technology and Informatics. 238: 104-107. doi: 10.3233/978-1-61499-781-8-104
  • Babic, Ankica; Hucikova, Anezka. 2016. Overcoming constraints in healthcare with cloud technology. Studies in Health Technology and Informatics. 226: 165-168. doi: 10.3233/978-1-61499-664-4-165
  • Babic, Ankica; Knudsen, Greger Siem. 2016. Identifying dyscalculia symptoms related to magnocellular reasoning using smartphones. Studies in Health Technology and Informatics. 226: 229-232. doi: 10.3233/978-1-61499-664-4-229
  • Hucíková, Anežka; Babic, Ankica. 2016. Cloud computing in healthcare: A space of opportunities and challenges. Studies in Health Technology and Informatics. 221: 122. doi: 10.3233/978-1-61499-633-0-122
  • Gharehbaghi, Arash; Ask, Per; Babic, Ankica. 2015. A pattern recognition framework for detecting dynamic changes on cyclic time series. Pattern Recognition. 48: 696-708. doi: 10.1016/j.patcog.2014.08.017
  • Gharehbaghi, Arash; Ask, Per; Nylander, Eva; Janerot-Sjöberg, Birgitta; Ekman, Inger; Lindén, Maria; Babic, Ankica. 2015. A hybrid model for diagnosing sever aortic stenosis in asymptomatic patients using phonocardiogram. International Federation for Medical and Biological Engineering Proceedings. 51: 1006-1009. doi: 10.1007/978-3-319-19387-8_245
  • Kanza, Grace Benjamin; Babic, Ankica. 2015. Agile development for smart user interfaces to cancer registries. International Federation for Medical and Biological Engineering Proceedings. 45: 711-714. doi: 10.1007/978-3-319-11128-5_177
  • Andersen, Per-Øivind Berg; Babic, Ankica. 2014. Self-reporting for bipolar patients through smartphone. International Federation for Medical and Biological Engineering Proceedings. 41: 1358-1361. doi: 10.1007/978-3-319-00846-2_336
  • Babic, Ankica; Peterzén, Bengt; Lönn, Urban; Ahn, Henrik C. 2014. Case Based Reasoning in a web based decision support system for thoracic surgery. International Federation for Medical and Biological Engineering Proceedings. 41: 1413-1416. doi: 10.1007/978-3-319-00846-2_350
  • Kanza, Grace Benjamin; Babic, Ankica. 2014. Data mining in cancer registries: A case for design studies. International Federation for Medical and Biological Engineering Proceedings. 41: 1417-1420. doi: 10.1007/978-3-319-00846-2_351
  • Sørheim, Helen; Babic, Ankica. 2014. Digital diary for persons with psychological disorders using interaction design. International Federation for Medical and Biological Engineering Proceedings. 41: 1390-1393. doi: 10.1007/978-3-319-00846-2_344
  • Babic, Ankica; Berg Andersen, Per-Øivin. 2013. Mobile-supported life charting for bipolar patients - user requirements study. Studies in health technology and informatics. 2013;192:1111: 1111-1111.
  • Babic, Ankica; Berntsen, Eirik. 2013. Cherry: mobile application for children with cancer. Studies in health technology and informatics. 1168-1168.
Reports and theses
  • Babic, Ankica. 2011. LiU-IMT-R-0047: Reading into the end points and clinical outcomes. Linköping University, Linköping Sweden. 50 pages.
  • Babic, Ankica. 2011. LiU-IMT-R-0048: AssistMe System: A Web-based system for data mining in the thoracic surgery domain. Linköping University, Linköping Sweden. 50 pages.
Book sections
  • Babic, Ankica; Hucikova, Anezka. 2016. Cloud Technology:Empowering Healthcare Organizations. KAPITTEL. In:
    • Hofdijk, Jacob; Séroussi, Brigitte; Lovis, Christian; Ehrler, Frederic; Sieverink, Floor; Ugon, Adrien; Hercigonja-Szekeresr, Mira. 2016. Transforming Healthcare with the Internet of Things. IOS Press. 136 pages. ISBN: 978-1-61499-633-0.

More information in national current research information system (CRIStin)

Research groups