Non-invasive diagnosis of risk in dengue patients using bioelectrical impedance analysis and artificial neural network
This paper presents a new approach to diagnose and classify early risk in dengue patients using bioelectrical impedance analysis (BIA) and artificial neural network (ANN). A total of 223 healthy subjects and 207 hospitalized dengue patients were prospectively studied. The dengue risk severity criter...
Saved in:
| Main Authors: | , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
2010
|
| Subjects: | |
| Online Access: | http://eprints.um.edu.my/9319/1/Non-invasive_diagnosis_of_risk_in_dengue_patients_using_bioelectrical_impedance_analysis_and_artificial_neural_network.pdf http://eprints.um.edu.my/9319/ http://www.scopus.com/inward/record.url?eid=2-s2.0-78649322287&partnerID=40&md5=5c64c84f9199a6ac896972974bc35ebb http://link.springer.com/article/10.1007/s11517-010-0669-z http://www.ncbi.nlm.nih.gov/pubmed/20683676 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Internet
http://eprints.um.edu.my/9319/1/Non-invasive_diagnosis_of_risk_in_dengue_patients_using_bioelectrical_impedance_analysis_and_artificial_neural_network.pdfhttp://eprints.um.edu.my/9319/
http://www.scopus.com/inward/record.url?eid=2-s2.0-78649322287&partnerID=40&md5=5c64c84f9199a6ac896972974bc35ebb http://link.springer.com/article/10.1007/s11517-010-0669-z http://www.ncbi.nlm.nih.gov/pubmed/20683676