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What is LSSVM with Fuzzy Pre-processing for Liver Diagnosis about?

This document presents a new medical decision making system that uses Least Square Support Vector Machine (LSSVM) combined with Fuzzy Weighting Pre-processing to diagnose liver disorders. The system is tested on a liver disorder dataset from a public repository, achieving a classification accuracy of 94.29%, which is the highest reported for this dataset. Support vector machines and LSSVM are explained as effective machine learning techniques for classification tasks. The proposed combined approach of LSSVM

Author

hiri

Language

EN