FEATURE SELECTION AND RULE GENERATION INTEGRATED LEARNING FOR TAKAGI-SUGENO-KANG FUZZY SYSTEM AND ITS APPLICATION IN MEDICAL DATA CLASSIFICATION

Feature Selection and Rule Generation Integrated Learning for Takagi-Sugeno-Kang Fuzzy System and its Application in Medical Data Classification

The rule-based fuzzy systems have successfully applied for numerous medical data classification problems.However, structuring the concise and interpretable fuzzy rules with good classification performance is still a big challenge.To address this issue, a here novel feature selection and rule generation integrated learning for Takagi-Sugeno-Kang fuz

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Pedicle screw insertion into infected vertebrae reduces operative time and range of fixation in minimally invasive posterior fixation for thoracolumbar pyogenic spondylitis: a multicenter retrospective cohort study

Abstract Background Minimally invasive posterior fixation surgery for pyogenic spondylitis is known to reduce invasiveness and complication rates; however, the outcomes of concomitant insertion of pedicle screws (PS) into the infected vertebrae via the posterior approach are undetermined.This study aimed to assess the safety and efficacy of PS inse

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