Quality Assurance in Maternity Care (QAMC) project

This EC funded project began in 1995 with the primary aim being to explore artificial neural networks for obstetric risk prediction.

If this is your first visit to this site, we suggest you read the online guide to the pages (or download the compressed PostScript version).

The project's publications are available, and you can read or send feedback about the project. We are very interested in your comments so that we can establish the strengths and weaknesses of this approach to risk prediction.

Two pages are available to give the estimated and observed rates of incidence of failure to progress in labour associated with different maternal profiles:

• Click here for the page which uses ICD-9 codes to describe maternal health status;
• Click here for the page which does not use those codes.