The Application of Machine Learning on Brain Imaging Features of Different Narcolepsy Subtypes.

Wei-Chih ChinSheng-Yao HuangFeng-Yuan LiuChih-Huan WangI TangIng-Tsung HsiaoYu-Shu Huang

Published in: Sleep (2024)

The accuracy of our predictive model of PET data is promising and can aid clinicians in the diagnosis of narcolepsy subtypes. Future research with a larger sample size could further refine the predictive model of narcolepsy.

Keyphrases

machine learning
high resolution
big data
computed tomography
palliative care
electronic health record
positron emission tomography
mass spectrometry
fluorescence imaging
subarachnoid hemorrhage