Deep transformation models for functional outcome prediction after acute ischemic stroke-Reference-Cited by-同舟云学术

Deep transformation models for functional outcome prediction after acute ischemic stroke

Published:2022-12-09 Issue: Volume: Page:
ISSN:0323-3847
Container-title:Biometrical Journal
language:en
Short-container-title:Biometrical J

Author:

Herzog Lisa¹²³,Kook Lucas¹²^ORCID,Götschi Andrea¹,Petermann Katrin¹,Hänsel Martin³,Hamann Janne³,Dürr Oliver⁴,Wegener Susanne³,Sick Beate¹²

Affiliation:

1. Epidemiology, Biostatistics & Prevention Institute University of Zürich Zürich Switzerland

2. Institute for Data Analysis and Process Design Zurich University of Applied Sciences Winterthur Switzerland

3. Department of Neurology University Hospital Zurich Zürich Switzerland

4. Institute for Optical Systems Konstanz University of Applied Sciences Konstanz Germany

Funder

Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung

Novartis Foundation

Bundesministerium für Bildung und Forschung

Publisher

Wiley

Subject

Statistics, Probability and Uncertainty,General Medicine,Statistics and Probability

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/bimj.202100379

Reference42 articles.

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2. Deep Learning in the Prediction of Ischaemic Stroke Thrombolysis Functional Outcomes

3. Deep Conditional Transformation Models

4. Heart Disease and Stroke Statistics – 2019 Update: A report from the American Heart Association;Benjamine E. J.;Circulation,2019

5. Scoring Probabilistic Forecasts: The Importance of Being Proper

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