A Diagnostic System Based on Fuzzy Logic for Clinical Examination of Patients in Ayurveda
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.
KeywordsFuzzy logic Human Constituents Immunity Ayurveda Inference engine Defuzzification
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.
- 1.Sharma, R., Dash, B.: Charaka Samhita. Chowkhamba Sanskrit Series (2009)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
- 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