The research will be conducted within the Department of Development and Regeneration at KU Leuven, in collaboration with the Management Information & Reporting department of the University Hospitals Leuven. As promoters, prof. Ben Van Calster and prof. Laure Wynants will supervise the research together with Dr. Pieter Stijnen. The promoters are members of EPI-centre, a young group of KU Leuven researchers interested in clinical epidemiology, diagnostic testing and prediction modeling. The project team consists of methodologists/statisticians, data analysts (responsible for hospital quality of care and patient safety reporting), and clinicians from hospital hygiene and intensive care. Further, we have collaborations with Maastricht University (prof. Wynants) and Leiden University Medical Center (prof. Van Calster). This international and interdisciplinary network provides an excellent research environment for the project.
The project focuses on the prediction of central-line associated bloodstream infections (CLABSI) in patients hospitalized at the University Hospitals Leuven. Using electronic health records of recent years, the focus is on making dynamic predictions based on regression and machine learning models for dynamic and competing risks survival analysis. The project has a methodological and an applied component. On the applied level, we aim to develop a robust prediction model, and validate it in new data from Leuven as well as in other Flemish and Dutch hospitals. We plan to combine this with a cost-effectiveness evaluation. Methodologically, there is room to investigate and compare regression and machine learning methods to develop dynamic prediction models in competing risk settings.
The project is funded as a C2 project by KU Leuven, with the following work packages:
You will collaborate with a second PhD researcher, and your work will mainly involve WPs 1, 3 and 4. We will collaborate with clinicians and data analysts from the University Hospitals Leuven, as well as with statisticians from Maastricht University and Leiden University Medical Center in the Netherlands.
For more information please contact Prof. dr. Ben Van Calster, tel.: +32 16 37 77 88, mail: email@example.com or Prof. dr. Laure Wynants, tel.: +32 16 32 76 70, mail: firstname.lastname@example.org.
You can apply for this job no later than September 30, 2020 via the online application tool
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|Title||PhD Position on Dynamic Prediction of Bloodstream Infections Using EHR Data|
|Job location||Oude Markt 13, 3000 Leuven|
|Published||August 4, 2020|
|Application deadline||September 30, 2020|
|Job types||PhD  |
|Fields||Algorithms,   Statistics,   Clinical Sciences,   Computing in Mathematics, Natural Science, Engineering and Medicine,   Data Structures,   Applied Mathematics,   Infectious Diseases,   Medical Technology,   Computational Mathematics,    and 2 more. Machine Learning,   Public Health  |