A bayesian framework to optimize performance of pre-hospital stroke triage scales

Mayank Goyal*, Johanna M. Ospel, Beom Joon Kim, Nima Kashani, Martijne H.C. Duvekot, Bob Roozenbeek, Aravind Ganesh

*Corresponding author for this work

Research output: Contribution to journalArticleAcademicpeer-review

6 Citations (Scopus)
18 Downloads (Pure)
Original languageEnglish
Pages (from-to)443-448
Number of pages6
JournalJournal of Stroke
Issue number3
Publication statusPublished - Sept 2021

Bibliographical note

Funding Information:
Received: April 10, 2021 Revised: June 8, 2021 Accepted: June 9, 2021 Mayank Goyal reports consulting fees from Medtronic, Stryker, Microvention, and Mentice; and has a patent for Systems of stroke diagnosis licensed to GE Healthcare. Johanna M. Ospel is supported by the Julia Bangerter Rhyner Foundation, University of Basel Research Foundation, and Freiwillige Akademische Gesellschaft Basel. Beom Joon Kim, Nima Kashani, Martijne H.C. Duvekot, and Bob Roozenbeek have nothing to disclose. Aravind Ganesh reports membership in editorial boards of Neurology, Neurology Clinical Practice, and Stroke; speaker honoraria from NHS Health Education England; consulting fees from MD Analytics, MyMedicalPanel, Adkins Research Group, and Genome BC; research support from The Rhodes Trust, Wellcome Trust, the University of Calgary, Alberta Innovates, the Canadian Cardiovascular Society, and the Canadian Institutes of Health Research; stock/stock options from SnapDx, TheRounds.ca, and Advanced Health Analytics (AHA Health Ltd); and has a provisional patent application (US 63/024,239) for a system to deliver remote ischemic conditioning or other cuff-based therapies.

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