Miss Klaske Rynke Siegersma
Amsterdam University Medical Centre, Amsterdam (Netherlands (The))
Misclassification of sex by deep neural networks reveals novel ECG characteristics that explain a higher risk of mortality in women and in men
Event: ESC Congress 2021 - The Digital Experience
Topic: Big Data Analysis
Session: Highlights from the Young in digital health
ARGUS Hackathon: Development of a machine learning algorithm to exclude coronary macro- and microvascular disease in a clinical care dataset.
Event: Digital Health 2019
Topic: Hospital Information Systems, Electronic Medical Records, Clinical Decision Support
Session: Artificial Intelligence 2
Development of a decision support tool to predict outcome of coronary CT calcium score and angiography: Study Design and Data Preparation
Event: Digital Health 2019
Topic: Hospital Information Systems, Electronic Medical Records, Clinical Decision Support
Session: Artificial Intelligence 1
Prediction of the risk of valve surgery and adverse events in patients with aortic stenosis: myocardial tissue characterization with radiomics
Event: ESC Congress 2018
Topic: Aortic Valve Stenosis
Session: New predictors of outcome in valve disease
Discrimination of fibrotic myocardium from healthy myocardium patients with aortic stenosis: a radiomics approach with machine learning models
Event: ESC Congress 2018
Topic: Late Gadolinium Enhancement
Session: Late gadolinium enhancement and viability
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