Brain Disorder Detection and Diagnosis using Machine Learning and Deep Learning - A Bibliometric Analysis.

Journal: Current neuropharmacology
Published Date: Jan 1, 2024

Abstract

BACKGROUND AND OBJECTIVE: Brain disorders are one of the major global mortality issues, and their early detection is crucial for healing. Machine learning, specifically deep learning, is a technology that is increasingly being used to detect and diagnose brain disorders. Our objective is to provide a quantitative bibliometric analysis of the field to inform researchers about trends that can inform their Research directions in the future.

Authors

  • Jyotismita Chaki
    School of Computer Science and Engineering, Vellore Institute of Technology, Vellore, India.
  • Gopikrishna Deshpande
    AU MRI Research Center, Department of Electrical and Computer Engineering, Auburn University, Auburn, AL, USA.

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