
Assistant Professor Alicia Uijl
Amsterdam University Medical Centre (AUMC), Amsterdam (Netherlands (The))
Membership:
HFA Member
Biography
Alicia is assistant professor and clinical epidemiologist at the Julius Center for Primary Care and Health Sciences, University Medical Center Utrecht. She is associated with the BigData@Heart consortium of the Innovative Medicines Initiative. Main fields of interest are heart failure, electronic health records, real-world data, phenotyping, causal inference and personalised medicine.
In 2016 Alicia Uijl started her PhD project on Opportunities and Challenges of Real-world Data in Heart Failure in Utrecht. She was under supervision of prof. dr. F.W. Asselbergs, prof. dr. A.W. Hoes, dr. S. Koudstaal and dr. I. Vaartjes. During her PhD she worked at the Institute for Health Informatics at University College London with CALIBER and CPRD data, United Kingdom, with prof. Spiros Denaxas. She also studied the Swedish Heart Failure registry at Karolinska Institutet, Sweden, working together with dr. Gianluigi Savarese and prof. dr. Lars Lund. In June 2020 she succesfully defended her PhD.
Contributor content
Presentation
Innovating heart failure research: a federated learning approach across European borders
Presentation
An electronic health record analysis studying differences in medication use associated with renal impairment in acute heart failure
Presentation
Increased risk of atrial fibrillation with low cardiovascular health: life essential 8 in a dutch population
Presentation
Life essential 8 associated with a lower risk of stroke: ideal cardiovascular health in the EPIC-NL prospective cohort study
Presentation
Identifying distinct clinical subgroups in heart failure with reduced ejection fraction
Presentation
Identifying distinct clinical subgroups in heart failure with mildly reduced ejection fraction
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Europe.
Presentation
Association between phenotypic clusters and treatment response in heart failure with preserved ejection fraction
Presentation
Risk of stroke in patients with chronic heart failure and sinus rhythm: clinical prediction model based on the Swedish heart failure (Swede-HF) registry
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