Big Data Analysis of Traditional Knowledge-based Ayurveda Medicine
| Autor: | Harpreet Singh, Sapna Bhargava, Sailesh Ganeshan, Ravneet Kaur, Tavpritesh Sethi, Mukesh Sharma, Madhusudan Chauhan, Neerja Chauhan, Rishipal Chauhan, Partap Chauhan, Samir K. Brahmachari |
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| Jazyk: | angličtina |
| Rok vydání: | 2018 |
| Předmět: | |
| Zdroj: | Progress in Preventive Medicine, Vol 3, Iss 5, p e0020 (2018) |
| Druh dokumentu: | article |
| ISSN: | 2473-294X 00000000 |
| DOI: | 10.1097/pp9.0000000000000020 |
| Popis: | Introduction:. Modern medicine has embraced data-driven understanding of health, principally through electronic medical records. However, Ayurveda, which is the dominant traditional medicine system in India, much of it is still practiced without digital records. Methods:. In this study, 353,000 patients’ data were captured digitally by ~300 Ayurveda doctors over teleconsultation and in-person consultations. The entire dataset was analyzed based on age, sex, region, chronicity, Vikriti, disease morbidity, and comorbitidy and reported effectiveness of the treatment. Results:. Younger patients were found to use more Ayurveda telemedicine, but all age groups were well represented. It was found that 82% patients had disease chronicity greater than 1 year. About 85% of the diseases were related to 6 organ systems, digestive (30.6%), endocrine (14.6%), skeleton (13.5%), skin (11.2%), nervous (7.6%), and respiratory (7.4%). The network analysis of the data revealed difference in sex and age-based patterns. Disease of endocrine and cardiovascular systems become comorbid for patient population at older age-groups as also observed in case of modern medicines. Conclusion:. Within the limitations of using practice data from a single large group of Ayurveda practitioners, this represents the first data-driven view of Ayurveda practice in India. In spite of 82% of all the patients having chronic diseases, Ayurveda treatment offered complete or partial relief in more than 76% of cases, and only 0.9% reported aggravation in symptoms. |
| Databáze: | Directory of Open Access Journals |
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