Log in to save to my catalogue

A Preliminary Study on the Usage of a Data-Driven Probabilistic Approach to Predict Valve Performanc...

A Preliminary Study on the Usage of a Data-Driven Probabilistic Approach to Predict Valve Performanc...

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_miscellaneous_2655562491

A Preliminary Study on the Usage of a Data-Driven Probabilistic Approach to Predict Valve Performance Under Different Physiological Conditions

About this item

Full title

A Preliminary Study on the Usage of a Data-Driven Probabilistic Approach to Predict Valve Performance Under Different Physiological Conditions

Publisher

Cham: Springer International Publishing

Journal title

Annals of biomedical engineering, 2022-08, Vol.50 (8), p.941-950

Language

English

Formats

Publication information

Publisher

Cham: Springer International Publishing

More information

Scope and Contents

Contents

Predicting potential complications after aortic valve replacement (AVR) is a crucial task that would help pre-planning procedures. The goal of this work is to generate data-driven models based on logistic regression, where the probability of developing transvalvular pressure gradient (DP) that exceeds 20 mmHg under different physiological condition...

Alternative Titles

Full title

A Preliminary Study on the Usage of a Data-Driven Probabilistic Approach to Predict Valve Performance Under Different Physiological Conditions

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_proquest_miscellaneous_2655562491

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_miscellaneous_2655562491

Other Identifiers

ISSN

0090-6964

E-ISSN

1573-9686

DOI

10.1007/s10439-022-02971-8

How to access this item