Contents
Download PDF
pdf Download XML
54540 Views
21667 Downloads
Share this article
Review Article | Volume 3 Issue 1 (, 1997) | Pages 49 - 52
Neural net-bootstrap hybrid methods for prediction of complications in patients implanted with artificial heart valves
 ,
 ,
 ,
1
University of California, Los Angeles.
Under a Creative Commons license
PMID : -8162215
Published
Jan. 18, 1994
Abstract

A novel hybrid methodology for prediction of valve related complications in patients with implanted artificial heart valves is discussed. Artificial neural networks provided a mechanism for prediction of postoperative valve-related deaths based on preoperative patient information and valve parameters. Then bootstrap methodology was applied for estimating prediction errors and maximizing prediction accuracy. Data from a clinical trial with 10 years of follow-up on 789 patients implanted with Carpentier-Edwards Pericardial Bioprosthesis were used. A random subset of the data was reserved for validation of the final outcome. The remaining patients' records were repeatedly divided into two groups, using resampling strategy provided by the bootstrap methodology. One of the groups was used for training the neural net and the other one for testing the trained network and determining error rates. Patient information, such as sex, age, NYHA class and anticoagulation therapy, as well as valve parameters, such as size and the date of implant were used as the network inputs. Calculated error rates were then used for assessing the distribution of the error, further optimization of the neural network, and constructing confidence intervals for the error rates. Thus, reliable statistical estimation was obtained on the prediction accuracy. Additionally this new hybrid methodology allowed us to optimize the neural network even further, raising the accuracy of prediction to 78%.

 

 

how to cite: Katz, S., Katz, A. S., Lowe, N., & Quijano, R. C. (1994). Neural net-bootstrap hybrid methods for prediction of complications in patients implanted with artificial heart valves. The Journal of heart valve disease3(1), 49–52.

Keywords
Recommended Articles
Research Article
Cross-Sectional Study of Right Ventricular Function Assessment in Inferior Wall Myocardial Infarction and Its Impact on Treatment Outcome from Tertiary Care Centre of Northeast India
...
Published: 10/09/2025
Download PDF
Read Article
Research Article
Exploring the Role of MRI in Early Detection of Neurodegenerative Diseases
...
Published: 30/08/2025
Download PDF
Read Article
Research Article
Metabolic Syndrome and Subclinical Cardiovascular Disease in Psoriasis Patients
...
Published: 31/08/2025
Download PDF
Read Article
Research Article
Botulinum Toxin for Diabetic Neuropathic Pain: A Review
...
Published: 05/09/2025
Download PDF
Read Article
© Copyright Journal of Heart Valve Disease