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International Conference on Advanced Informatics for Computing Research

ICAICR 2018: Advanced Informatics for Computing Research pp 757–771Cite as

A Diagnostic System Based on Fuzzy Logic for Clinical Examination of Patients in Ayurveda

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Part of the book series: Communications in Computer and Information Science ((CCIS,volume 955))

Abstract

Ayurveda accentuate on ‘Personalized Treatment’ as it considers very individual different in terms of physical and mental traits. Hence Ayurvedic Physicians carry out Dashvidh Prakisha (Ten Fold Examination) of patients to assess various aspects of personality, temperament, health status of the patient. This examination will help the physicians to provide the personalized treatment and appropriate dose of medicine to the patients. The prime objective of this research is to develop a tool based on fuzzy logic to automate the clinical examination of patients. A fuzzy controller is designed which has all the input and output parameters acquired by rigorous consultation with Ayurvedic Physicians. A knowledge base constructed by mapping input parameters to an appropriate output parameter based on the expertise of Ayurvedic Physicians is fed into the fuzzy controller. Comparative study is applied for assessing the performance of the proposed system. Diagnosis carried out by the Ayurvedic Physicians and results generated by the system and are compared for 150 patients.

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References

  1. Sharma, R., Dash, B.: Charaka Samhita. Chowkhamba Sanskrit Series (2009)

    Google Scholar 

  2. Daniel, M., Hájek, P., Nguyen, P.H.: CADIAG-2 and MYCIN-like systems. Artif. Intell. Med. 9(3), 241–259 (1997)

    Article  Google Scholar 

  3. Başçiftçi, F., Avuçlu, E.: An expert system design to diagnose cancer by using a new method reduced rule base. Comput. Methods Programs Biomed. 157, 113–120 (2018)

    Article  Google Scholar 

  4. Bahrami, A., Bahrami, A.: An expert system for diagnosing dilated cardiomyopathy. Int. J. Eng. Sci. Invent. 3(3), 38–42 (2014)

    MathSciNet  Google Scholar 

  5. Amiri, F.M., Khadivar, A.: A fuzzy expert system for diagnosis and treatment of musculoskeletal disorders in wrist. Teh Vjesn - Tech. Gaz 24(Suppl. 1), 147–155 (2017)

    Google Scholar 

  6. Zirra, P.B.: A fuzzy based system for determining the severity level of osteomyelitis. Int. J. Adv. Res. Comput. Sci. Softw. Eng. 6(6), 174–183 (2016)

    Google Scholar 

  7. Ranjit, K., Vishu, M., Prateek, A., Sanjay Kumar, S., Amandeep, K.: Fuzzy expert system for identifying the physical constituents of a human body. Indian J. Sci. Technol. 9(28) (2016)

    Google Scholar 

  8. Mashood, A.H., Adewole, K.S.: Rule-based expert system for disease conference paper. In: International Conference on Science, Technology, Education, Arts, Management and Social Sciences (2015)

    Google Scholar 

  9. Putra, I.K.G.D., Prihatini, P.M.: Fuzzy expert system for tropical infectious disease by certainty factor. Telkomnika 10(4), 825–836 (2012)

    Article  Google Scholar 

  10. Sethi, D., Agrawal, P., Madaan, V.: X-Tumour: fuzzy rule based medical expert system to detect tumours. Indian J. Sci. Technol. 9(11), 5073–5084 (2016)

    Google Scholar 

  11. Ranjit, K., Madaan, V., Agrawal, P.: Fuzzy expert system to calculate the strength/immunity of a human body. Indian J. Sci. Technol. 9(44) (2016)

    Google Scholar 

  12. Amandeep, K., Madaan, V., Agrawal, P., Ranjit, K., Singh, S.K.: Fuzzy rule based expert system for evaluating defaulter risk in banking sector. Indian J. Sci. Technol. 9(28) (2016)

    Google Scholar 

  13. Sethi, D., Agrawal, P., Madaan, V., Kumar Singh, S.: X-Gyno: fuzzy method based medical expert system for gynaecology. Indian J. Sci. Technol. 9(28) (2016)

    Google Scholar 

  14. Hartley, S., Boucho-meunier, B.: Design and implementation of a fuzzy expert system for detecting and estimating the level of asthma and chronic obstructive pulmonary disease. Middle-East J. Sci. Res. 14(11), 1435–1444 (2013)

    Google Scholar 

Download references

Acknowledgement

The authors wish to express special thanks of gratitude to the expert Dr. Rabjyot Kaur working as Ayurvedic Medical Officer at Government Ayurvedic Dispensary (GAD), Bombeli, Hoshiarpur, Punjab, India for her persistent assistance during the development and testing phase of the proposed system.

Author information

Authors and Affiliations

  1. School of Computer Science Engineering, Lovely Professional University, Phagwara, Punjab, India

    Ranjit Kaur & Kamaldeep Kaur

Authors
  1. Ranjit Kaur
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  2. Kamaldeep Kaur
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Corresponding author

Correspondence to Ranjit Kaur .

Editor information

Editors and Affiliations

  1. Department of Computer Science and Engineering, Maharshi Dayanand University, Rohtak, Haryana, India

    Ashish Kumar Luhach

  2. Namibia University of Science and Technology, Windhoek, Namibia

    Dharm Singh

  3. National Chung Cheng University, Minxiong Township, Chiayi County, Taiwan

    Pao-Ann Hsiung

  4. Electrical and Electronics Engineering, Universiti Malaysia Pahang, Pekan, Pahang, Malaysia

    Kamarul Bin Ghazali Hawari

  5. Saint Mary's University, Halifax, NS, Canada

    Pawan Lingras

  6. Department of Computer Science and Engineering, Jaypee University of Information Technology, Kandaghat, India

    Pradeep Kumar Singh

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Kaur, R., Kaur, K. (2019). A Diagnostic System Based on Fuzzy Logic for Clinical Examination of Patients in Ayurveda. In: Luhach, A., Singh, D., Hsiung, PA., Hawari, K., Lingras, P., Singh, P. (eds) Advanced Informatics for Computing Research. ICAICR 2018. Communications in Computer and Information Science, vol 955. Springer, Singapore. https://doi.org/10.1007/978-981-13-3140-4_68

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  • DOI: https://doi.org/10.1007/978-981-13-3140-4_68

  • Published:

  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-13-3139-8

  • Online ISBN: 978-981-13-3140-4

  • eBook Packages: Computer ScienceComputer Science (R0)

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