Machine learning-based Cerebral Venous Thrombosis diagnosis with clinical data.

Ali Namjoo-MoghadamVida AbediVenkatesh AvulaNahid AshjazadehEtrat HooshmandiNiloufar AbedinpourZahra RahimianAfshin Borhani-HaghighiRamin Zand

Published in: Journal of stroke and cerebrovascular diseases : the official journal of National Stroke Association (2024)

The application of machine learning techniques using clinical data showed promising results in accurately diagnosing CVT within our study population. This approach offers a valuable complementary assistive tool or an alternative to resource-intensive imaging methods.

Keyphrases

machine learning
big data
electronic health record
artificial intelligence
high resolution
subarachnoid hemorrhage
data analysis
blood brain barrier