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Perioperative infection prediction

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.

Call for proposal

H2020-EIC-SMEInst-2018-2020

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Sub call

H2020-SMEInst-2018-2020-1

Coordinator

HEALTHPLUS.AI-IP BV
Net EU contribution
€ 50 000,00
Address
Singel 542
1017 AZ Amsterdam
Netherlands

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Region
West-Nederland Noord-Holland Groot-Amsterdam
Activity type
Private for-profit entities (excluding Higher or Secondary Education Establishments)
Other funding
€ 21 429,00