Prediction of Ayurveda Prakriti and Vikriti Using Automatic Questionnaire and Digital Sensors
Prediction of Ayurveda Prakriti and Vikriti Using Automatic Questionnaire and Digital Sensors
The goal of this observational study is to assess Prakriti & Vikriti in patients visiting OPD of IIISM department, SRM hospital.
The main question[s] it aims to answer are:
The Ayurveda is an ancient documented medical system originated in India. The Ayurveda stratified humans into 7 broad categories based on the phenotype features viz. Vata, Pitta, Kapha, Vatapitta, Vatakapha, Kaphapitta and Vatapittakapha Prakriti types. Also, the features of the disease conditions are clearly described based on the predominance of Vata, Pitta and Kapha or its combinations. Presently, the identification of Prakriti type and Vikriti status are basically subjective assessment. This study proposes to integrate the subjective assessment with objective digital signal parameters. This digital signatures would be useful in ML / AI based assessment and prediction of Prakriti type and Vikriti status of the patients.
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