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AISLDr: Artificial Intelligent Self-learning Doctor

  • Sumit Das
  • Manas Sanyal
  • Debamoy Datta
  • Aniruddha Biswas
Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 695)

Abstract

In recent decades, observation is that there are numerous corruptions in medical diagnosis; instead of proper diagnosis, some corrupted practitioners follow the money-earning-diagnosis-path by trapping the patient at critical stage in some countries. The common people are suffering from lack of diagnosis due to high diagnostic cost and lack of certified practitioners. This paper analyzes this shortcoming and ‘design and implement’ an intelligent system (AISLDr) which can perform the same without any corruption in a cost effective manner as like honest human doctor. In this work, the disease Tuberculosis has taken as a prototype because many people of our country are suffering from this disease and they know it at critical stage as India is highest Tuberculosis (TB) burden country. Here, our AISLDr performs diagnosis as well as draws awareness in the society to serve the nation in sustainable manner using fuzzy logic, probabilistic reasoning, and artificial intelligence (AI).

Keywords

AISLDr Fuzzy logic (FL) Artificial intelligence (AI) Knowledge base (KB) Tuberculosis (TB) 

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Copyright information

© Springer Nature Singapore Pte Ltd. 2018

Authors and Affiliations

  • Sumit Das
    • 1
  • Manas Sanyal
    • 2
  • Debamoy Datta
    • 3
  • Aniruddha Biswas
    • 1
  1. 1.Information TechnologyJIS College of EngineeringKalyaniIndia
  2. 2.Department of Business AdministrationUniversity of KalyaniKalyaniIndia
  3. 3.Electrical EngineeringJIS College of EngineeringKalyaniIndia

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