Project description
Machine-learning algorithm for early prediction of postoperative infections
Around 25 % of surgical patients in Europe experience some type of postoperative complication in the form of an infection. Dutch company Healthplus.ai is developing an advanced machine-learning algorithm to predict postoperative infections five days before the medical team diagnosis, achieving an accuracy of 80 %. The EU-funded PERISCOPE project aims to increase the data set and achieve > 90 % accuracy at five days before the onset of potential infection symptoms in the patient. The project is also focussing on a sustainable business model and plan, partnerships as well as legal and regulatory issues.
Fields of science
Programme(s)
Funding Scheme
SME-1 - SME instrument phase 1
Coordinator
1017 AZ Amsterdam
Netherlands
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