PRedicting with Artificial Intelligence riSk aftEr acute coronary syndrome

The methodology for calculating the PRAISE risk score is described in:
D'Ascenzo F, De Filippo O, Gallone G, et al, Machine learning-based prediction of adverse events following an acute coronary syndrome (PRAISE): a modelling study of pooled datasets, The Lancet, Volume 397, Issue 10270, 2021, Pages 199-207, ISSN 0140-6736.

Single patient analysis

In order to run a single patient anlysis with PRAISE it is necessary provide all the clinical, therapeutic, angiographic and procedural data available for the patient, then press the SUBMIT button. The result will be shown at the bottom of the page, showing the calculated score for death, ReAMI and BARC MB events with the corresponding risk class (low/intermediate/high). The score is calculated as a probability, so it is always included between 0 and 1.

Note that the score will be calculated independently from the number of variables provided; nonetheless it is worth noting that the more information are provided the more accurate the prediction will be.

Clinical variables

Therapeutic variables

Angiographic variables

Procedural variables

Multiple patients analysis

This service is temporarily unavailable - If you want to process entire datasets please write an email to