A novel heart rate variability based risk prediction model for septic patients presenting to the emergency department
10.1097/MD.0000000000010866
Saved in:
Main Authors: | Samsudin, M.I., Liu, N., Prabhakar, S.M., Chong, S.-L., Kit Lye, W., Koh, Z.X., Guo, D., Rajesh, R., Ho, A.F.W., Ong, M.E.H. |
---|---|
Other Authors: | DUKE-NUS MEDICAL SCHOOL |
Format: | Article |
Published: |
Lippincott Williams and Wilkins
2021
|
Subjects: | |
Online Access: | https://scholarbank.nus.edu.sg/handle/10635/206445 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Institution: | National University of Singapore |
Similar Items
-
Combining heart rate variability with disease severity score variables for mortality risk stratification in septic patients presenting at the emergency department
by: Pong, J.Z., et al.
Published: (2021) -
Validation of the mortality in emergency department sepsis (MEDS) score in a Singaporean cohort
by: Pong, J.Z., et al.
Published: (2021) -
Heart rate n-variability (HRnV) and its application to risk stratification of chest pain patients in the emergency department
by: Liu, N., et al.
Published: (2021) -
Heart rate variability based machine learning models for risk prediction of suspected sepsis patients in the emergency department
by: Chiew, C.J., et al.
Published: (2021) -
Utilizing machine learning dimensionality reduction for risk stratification of chest pain patients in the emergency department
by: Liu, Nan, et al.
Published: (2022)