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...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Penerbit UTM Press,
2020.
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| Subjects: | |
| Online Access: | Get fulltext |