.png){kind=icon}
.png){kind=icon}
Return
Development and Validation of Machine Learning Models to Optimize Imaging and Referrals for Dizziness in the Emergency Department
.png){kind=icon}
PRE
AI
D
D
S
S
R
DOI：10.1111/acem.70369.png)
.png){kind=icon}
Original request for help.png){kind=icon}
Share.png){kind=icon}
Save
Abstract
En 中文
Dizziness and vertigo are common emergency department (ED) presentations, but only 2%–5% receive a serious diagnosis, such as stroke or transient ischemic attack (TIA). Due to the lack of reliable validated prediction tools, many undergo unnecessary imaging and consultations, highlighting the need for improved risk stratification.
Keywords:
dizziness
emergency department
machine learning
prediction
stroke
vertigo
Journal
IF:
3.2
Papers:
6.7K
Citations:
9.8K
Organization
Cited Papers