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Cluster analysis for patterns of temporal association in Uppsala
Cluster analysis for patterns of temporal association
UMC has developed a statistical graphical representation of temporal associations between events in longitudinal electronic patient records and are interested in the use of cluster analysis, outlier and pattern detection methods to identify characteristic patterns without prior notions of what they may be. Parallels can be drawn to the expression pattern analysis of microarray data and the systematic analysis of electrocardiograph signals.
Develop a cluster algorithm optimized to the above setting
Evaluate method performance
- MSc student in Computer Science, Bioinformatics, Engineering Physics or Mathematical Statistics
- Computer Programming skills (E.g. R, MatLab, C#, F#)
- Communication and presentation skills in English
- Independent, ambitious and goal-oriented
Please submit your application with CV, course transcripts and a personal letter to [email protected]
The Uppsala Monitoring Centre (UMC) is a foundation and an independent centre for international service and scientific research. Our priorities are the safety of patients and the safe and effective use of medicines in every part of the world. We meet these priorities by innovative research and development, and by providing data, reference, consultative and training resources to medicines regulatory agencies, health professionals, researchers and the pharmaceutical industry all over the world. With a track record of several decades, we are a reliable partner for the wide range of users of our high quality tools and services.
The ultimate purpose of our work is to support good decision-making regarding the benefits and risks of treatment options for patients taking medicines. We strongly believe that effective communication of the most focused, up-to-date intelligence will maximise treatment effectiveness, reduce risks, and prevent harm or reduce its impact.
A core UMC function is to screen and analyse international data; our aim is to detect, as early as possible, potential issues of importance for patients and public health in relation to the use and safety of medicines. We also provide tools for data entry, management, retrieval, reference and research, such as VigiSearch, VigiFlow and the WHO Drug Dictionary Enhanced; and technical and scientific support for the World Health Organization (WHO) and its member countries.
Informationen om uppsatsförslag är hämtad från Nationella Exjobb-poolen.