Machine Learning-Based Risk Profile Classification of Patients Undergoing Elective Heart Valve Surgery
NCT ID: NCT03724123
Last Updated: 2018-10-30
Study Results
The study team has not published outcome measurements, participant flow, or safety data for this trial yet. Check back later for updates.
Basic Information
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COMPLETED
2229 participants
OBSERVATIONAL
2008-01-01
2014-12-31
Brief Summary
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Detailed Description
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Conditions
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Study Design
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COHORT
RETROSPECTIVE
Eligibility Criteria
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Inclusion Criteria
Exclusion Criteria
* patients that needed anterograde cerebral perfusion due to aortic arch surgery
* patients with grown-up congenital heart disease
18 Years
ALL
No
Sponsors
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Institute of Bioinformatics, JKU Linz
UNKNOWN
Kepler University Hospital
OTHER
Responsible Party
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Jens Meier
Prof. Dr.
References
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Bodenhofer U, Haslinger-Eisterer B, Minichmayer A, Hermanutz G, Meier J. Machine learning-based risk profile classification of patients undergoing elective heart valve surgery. Eur J Cardiothorac Surg. 2021 Dec 1;60(6):1378-1385. doi: 10.1093/ejcts/ezab219.
Other Identifiers
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K-82-15
Identifier Type: -
Identifier Source: org_study_id
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