Medtech Insight is part of Pharma Intelligence UK Limited

This site is operated by Pharma Intelligence UK Limited, a company registered in England and Wales with company number 13787459 whose registered office is 5 Howick Place, London SW1P 1WG. The Pharma Intelligence group is owned by Caerus Topco S.à r.l. and all copyright resides with the group.

This copy is for your personal, non-commercial use. For high-quality copies or electronic reprints for distribution to colleagues or customers, please call +44 (0) 20 3377 3183

Printed By

UsernamePublicRestriction

Neural networks for mortality prognosis in cardiac patients:

This article was originally published in Clinica

Executive Summary

Neural networks can reliably predict mortality in patients with heart failure, says Dr Juarez Oriz of the Centro de Cardiologia N*o Invasiva, S*o Paulo, Brazil (Journal of the American College of Cardiology, December 1995). Dr Ortiz' team gathered clinical and Doppler-derived ECG data from 95 cardiac patients and, after one year, collected data on survival or death, to derive a prognostic variable. In separating survivors from non-survivors, linear discriminant analysis gave accuracy at the ideal cutoff value of only 67.4%, sensitivity of 67.5%, positive predictive value of 27.8%, and a 91.5% negative predictive value. Conversely, all "artificial neural networks were able to predict outcome with an accuracy of 90%", with 83% specificity and 71.4% sensitivity for the best artificial neural network.

Topics

Latest Headlines
See All
UsernamePublicRestriction

Register

MT094526

Ask The Analyst

Ask the Analyst is free for subscribers.  Submit your question and one of our analysts will be in touch.

Your question has been successfully sent to the email address below and we will get back as soon as possible. my@email.address.

All fields are required.

Please make sure all fields are completed.

Please make sure you have filled out all fields

Please make sure you have filled out all fields

Please enter a valid e-mail address

Please enter a valid Phone Number

Ask your question to our analysts

Cancel