A new model for tracking and detection of deterioration of vital signs based on artificial neural network
Tracking and detection of the deterioration of vital signs has always been a challenging issue since it always happens suddenly and is associated firmly with serious problems such as recurrent readmissions of patients, increase the mortalities, and very little time window left for the clinician to t...
Saved in:
Main Authors: | Al-Shwaheen, T. I. A. L., Yuan, W. H. |
---|---|
Format: | Article |
Language: | English |
Published: |
Little Lion Scientific
2019
|
Subjects: | |
Online Access: | http://eprints.utm.my/id/eprint/89749/1/YuanWenHau2019_ANewModelforTrackingandDetection.pdf http://eprints.utm.my/id/eprint/89749/ http://www.jatit.org/volumes/Vol97No14/3Vol97No14.pdf. |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Use of learning approaches to predict clinical deterioration in patients based on various variables: A review of the literature
by: Al-Shwaheen, Tariq Ibrahim, et al.
Published: (2022) -
Smart medical chatbot with integrated contactless vital sign monitor
by: Zaki, W. M. A. W., et al.
Published: (2019) -
Artificial Intelligence, Sensors and Vital Health Signs: A Review
by: Junaid, S.B., et al.
Published: (2022) -
Recognition of Traffic Sign Based on Bag-of-Words and Artificial Neural Network
by: Islam, K.T., et al.
Published: (2017) -
Remote Monitoring Of Vital Signs
by: Syazana binti Hasan Nawawi, Syazana
Published: (2010)