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Performance Analysis of Psychological Disorders for a Clinical Decision Support System

  • Krishnanjan Bhattacharjee
  • S. Shivakarthik
  • Swati Mehta
  • Ajai Kumar
  • Anil KamathEmail author
  • Nirav Raje
  • Saishashank Konduri
  • Hardik Shah
  • Varsha Naik
Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 941)

Abstract

In the domain of psychological practice, experts follow different methodologies for the diagnosis of psychological disorders and might change their line of treatment based on their observations from previous sessions. In such a scenario, a standardized clinical decision support system based on big data and machine learning techniques can immensely help professionals in the process of diagnosis as well as improve patient care. The technology proposed in this paper, attempts to understand psychological case studies by identifying the psychological disorder they represent along with the severity of that particular case, with the help of a Multinomial Naive Bayes model for disorder identification and a regular expression based severity processing algorithm. A knowledge base is created based on the knowledge of human experts of psychology. Psychological disorders however need not possess distinct symptoms to easily differentiate between them. Some are very closely connected with a variety of overlapping symptoms between them. Our work, in this paper, focuses on analyzing the performance of such psychological disorders represented in the form of case studies in a decision support system, with an aim of understanding this gray area of psychology.

Keywords

Standardized clinical decision support system Multinomial Naive Bayes Psychological disorder Overlapping psychology symptoms 

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Copyright information

© Springer Nature Switzerland AG 2020

Authors and Affiliations

  • Krishnanjan Bhattacharjee
    • 1
  • S. Shivakarthik
    • 1
  • Swati Mehta
    • 1
  • Ajai Kumar
    • 1
  • Anil Kamath
    • 2
    Email author
  • Nirav Raje
    • 2
  • Saishashank Konduri
    • 2
  • Hardik Shah
    • 2
  • Varsha Naik
    • 2
  1. 1.Applied AI GroupCentre for Development of Advanced ComputingPuneIndia
  2. 2.Department of Information TechnologyMaharashtra Institute of TechnologyPuneIndia

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