Artificial intelligence for understanding concussion: Retrospective cluster analysis on the balance and vestibular diagnostic data of concussion patients

Rosa MS Visscher; Nina Feddermann-Demont; Fausto Romano; Dominik Straumann; Giovanni Bertolini

Artificial intelligence for understanding concussion: Retrospective cluster analysis on the balance and vestibular diagnostic data of concussion patients

Rosa MS Visscher, Nina Feddermann-Demont, Fausto Romano, Dominik Straumann, Giovanni Bertolini

Careum School of Health

Research output: Contribution to journal › Article › peer-review

Original language	English
Pages (from-to)	e0214525
Journal	PLoS ONE
Volume	14
Issue number	4
Publication status	Published - 2019

Cite this

@article{2423546aeb164c8a95daf1dbb4c4a3b1,

title = "Artificial intelligence for understanding concussion: Retrospective cluster analysis on the balance and vestibular diagnostic data of concussion patients",

author = "Visscher, {Rosa MS} and Nina Feddermann-Demont and Fausto Romano and Dominik Straumann and Giovanni Bertolini",

year = "2019",

language = "English",

volume = "14",

pages = "e0214525",

journal = "PLoS ONE",

issn = "1932-6203",

publisher = "Public Library of Science",

number = "4",

}

TY - JOUR

T1 - Artificial intelligence for understanding concussion: Retrospective cluster analysis on the balance and vestibular diagnostic data of concussion patients

AU - Visscher, Rosa MS

AU - Feddermann-Demont, Nina

AU - Romano, Fausto

AU - Straumann, Dominik

AU - Bertolini, Giovanni

PY - 2019

Y1 - 2019

M3 - Article

SN - 1932-6203

VL - 14

SP - e0214525

JO - PLoS ONE

JF - PLoS ONE

IS - 4

ER -