Rna sequences-based diagnosis of parkinson’s disease using various feature selection methods and machine learning

HIGHLIGHTS

• who: Jingeun Kim et al. from the Department of IT Convergence Engineering, Gachon University, Seongnam-daero, Seongnam-si, Republic of Korea have published the research: RNA Sequences-Based Diagnosis of Parkinsonu2019s Disease Using Various Feature Selection Methods and Machine Learning, in the Journal: (JOURNAL) of 15/02/2023
• what: The authors focus on how various feature selection methods can improve the performance of machine learning for accurate diagnosis of Parkinson`s disease. In this study, genetic algorithms, information gain, and wolf search algorithms are examined as feature selection methods.
• how: The authors analyzed . . .
  

   

  

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