Mortality prediction for acute decompensated heart failure patient using fuzzy neural network
It has been reported that patients admitted with acute decompensated heart failure (ADHF) face high risk of mortality where 30-day mortality rates are reaching 10%. Identifying patient with high and low risk of mortality could improve clinical outcomes and hospital resources allocation. This paper p...
Saved in:
Main Authors: | , , , , |
---|---|
Format: | Article |
Language: | English |
Published: |
Penerbit UTM Press
2020
|
Subjects: | |
Online Access: | http://eprints.utm.my/id/eprint/90013/1/MohamadShukorTalib2020_MortalityPredictionforAcuteDecompensatedHeartFailure.pdf http://eprints.utm.my/id/eprint/90013/ http://dx.doi.org/10.11113/mjfas.v16n4.1808 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Institution: | Universiti Teknologi Malaysia |
Language: | English |
Be the first to leave a comment!