I have a master of science from "The institute of Technology", Linköping University. My exam is in Industrial Engineering and Management with focus in electro- and medical-technology.
In parallel with my research I work at the County Council of Kalmar Landsting with business intelligence and data warehouse. I am also involved in development of automations and integrations for customers of the "Centre for national quality registers - Southeast" (RCSO, Registercentrum Sydost).
Research
I am employed as a doctoral student at the department of computer science and media technology, with affiliation to the research centre Linnaeus University Centre for Data Intensive Sciences and Applications (DISA). I am a member of the eHealth group with focus on: Big data and health information - Reuse of medical data.
My research groups
-
E-health – Improved Data to and from Patients The research in the e-health area within Linnaeus University Centre for Data Intensive Sciences and Applications (DISA) will result in novel ways for…
-
eHealth Institute Linnaeus University researches, evaluates, educates and collaborates with the surrounding society within e-health. Read more about our program and courses, ongoing research projects…
My ongoing research projects
-
Doctoral project: Reuse of health data, combing the best of two worlds A method for automatic generation of features with high predictive power based on domain knowledge.
-
Project: Prediction of medication risks and drug-related problems Medication related problems is a major problem for society, especially with an ageing population and increasing use of medicines. This…
-
Seed project: Using Natural Language Models for Extracting Drug-Related Problems (NLMED) The overall goal of the research in this seed project within the Linnaeus University Center for Data Intensive…
My completed research projects
-
Project: Using past data to prevent future fractures Certain types of medication increase the risk of osteoporosis and fractures. In this research project, we develop a risk assessment tool which can…
-
Seed project: Data intensive analysis for identification and prediction of risk medications The main objective for this seed project within Linnaeus University Centre for Data Intensive Sciences and…
-
Seed project: Developing the Skeleton Avatar camera Technique (SAT) as a rapid, valid and sensitive measurement of mobility in elderly persons The main objective for this seed project within Linnaeus…
Publications
Article in journal (Refereed)
-
Björneld, O., Carlsson, M., Löwe, W. (2023). Case study : Feature engineering inspired by domain experts on real world medical data. Intelligence-Based Medicine. 8.
Status: Published -
Nordqvist, O., Björneld, O., Brudin, L., Wanby, P., Nobin, R., et al. (2021). A novel index to assess low energy fracture risks in patients prescribed antiepileptic drugs. PLOS ONE. 16 (8).
Status: Published
Conference paper (Other academic)
- Nordqvist, O., Petersson, A., Björneld, O., Brudin, L., Wanby, P., et al. (2021). Low-energy fracture prediction in patients prescribed antiepileptic drugs : A Swedish case-control study assessing the value of BMD and TBS. Presented at the IOF WCO ESCEO (virtual congress), London, UK, 2021.
- Nordqvist, O., Björneld, O., Brudin, L., Wanby, P., Nobin, R., et al. (2020). A novel index to assess low energy fracture risks in patients prescribed antiepileptic drugs : using real world data from Swedish EHR to create the NEFRI (Nordqvist Epilepsy Fracture Risk Index). Presented at the IOF WCO ESCEO (virtual congress), Barcelona, Spain, 2020.