On intelligent Prakriti assessment in Ayurveda: a comparative study

Predictive medicine for a holistic and proactive approach to health management is steadily replacing the reactive healthcare model as the dominant paradigm in the twenty-first century. The Ayurvedic medical system, which incorporates all parts of predictive medicine, divides people into seven consti...

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Veröffentlicht in:Journal of intelligent & fuzzy systems 2023-01, Vol.45 (6), p.9827
Hauptverfasser: Majumder, Saibal, Rintu Kutum, Khatua, Debnarayan, Arif Ahmed Sekh, Kar, Samarjit, Mukerji, Mitali, Prasher, Bhavana
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container_end_page
container_issue 6
container_start_page 9827
container_title Journal of intelligent & fuzzy systems
container_volume 45
creator Majumder, Saibal
Rintu Kutum
Khatua, Debnarayan
Arif Ahmed Sekh
Kar, Samarjit
Mukerji, Mitali
Prasher, Bhavana
description Predictive medicine for a holistic and proactive approach to health management is steadily replacing the reactive healthcare model as the dominant paradigm in the twenty-first century. The Ayurvedic medical system, which incorporates all parts of predictive medicine, divides people into seven constitution types, or Prakriti, to help practitioners determine their initial homeostatic conditions. This article uses data on the phenotypic characteristics of 217 healthy people who fall into three extreme Prakriti types to conduct a study for predicting Prakriti classes. Those who fit the Prakriti type are drawn from two genetically different northern and western India cohorts. In order to dichotomize inter-individual variability in various individuals, eight machine learning (ML) classifiers are used. The prediction skills of the ML algorithms are evaluated here using ten pairs of predefined training and testing datasets for each cohort. Lastly, a performance comparison of various ML algorithms is carried out using six crucial performance criteria. The study aims to investigate and appraise using artificial intelligence (AI) to evaluate Prakriti in Ayurveda. The use of AI in Prakriti assessment may have several advantages, including enhancing the consistency and accuracy of assessments and minimizing reliance on subjective judgements. This study aims to further our knowledge of how technology can be applied to enhance the practice of Ayurveda and possibly improve patient outcomes.
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subjects Algorithms
Artificial intelligence
Ayurvedic medicine
Comparative studies
Machine learning
title On intelligent Prakriti assessment in Ayurveda: a comparative study
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