Prediction of Liver Damage using the Quartet Technique
Author:
Affiliation:
1. Sanskriti University,Department of Ayurveda,Mathura,Uttar Pradesh,India
2. Chandigarh Engineering College,Department of Computer Science & Engineering,Jhanjeri
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10046659/10046667/10047748.pdf?arnumber=10047748
Reference11 articles.
1. Comparative study of pulse-diagnosis signals between 2 kinds of liver disease patients based on the combination of unsupervised learning and supervised learning
2. Novel Controlled Attenuation Parameter for the evaluation of fatty liver disease
3. Comparative Analysis of Psychometric Prediction System
4. Optimizing Liver disease prediction with Random Forest by various Data balancing Techniques
5. Hepatitis C virus genetic association to rate of liver fibrosis progression
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