Big Data Analysis of Traditional Knowledge-based Ayurveda Medicine. Issue 5 (October 2018)
- Record Type:
- Journal Article
- Title:
- Big Data Analysis of Traditional Knowledge-based Ayurveda Medicine. Issue 5 (October 2018)
- Main Title:
- Big Data Analysis of Traditional Knowledge-based Ayurveda Medicine
- Authors:
- Singh, Harpreet
Bhargava, Sapna
Ganeshan, Sailesh
Kaur, Ravneet
Sethi, Tavpritesh
Sharma, Mukesh
Chauhan, Madhusudan
Chauhan, Neerja
Chauhan, Rishipal
Chauhan, Partap
Brahmachari, Samir K. - Abstract:
- Abstract : 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% ofAbstract : 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. Abstract : Supplemental Digital Content is available in the text. … (more)
- Is Part Of:
- Progress in preventive medicine. Volume 3:Issue 5(2018)
- Journal:
- Progress in preventive medicine
- Issue:
- Volume 3:Issue 5(2018)
- Issue Display:
- Volume 3, Issue 5 (2018)
- Year:
- 2018
- Volume:
- 3
- Issue:
- 5
- Issue Sort Value:
- 2018-0003-0005-0000
- Page Start:
- Page End:
- Publication Date:
- 2018-10
- Subjects:
- Health promotion -- Periodicals
Health behavior -- Periodicals
Preventive health services -- Periodicals
Medicine, Preventive -- Periodicals
Well-being -- Periodicals
613 - Journal URLs:
- https://journals.lww.com/progprevmed/pages/default.aspx ↗
http://journals.lww.com/pages/default.aspx ↗ - DOI:
- 10.1097/pp9.0000000000000020 ↗
- Languages:
- English
- ISSNs:
- 2473-294X
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store - Ingest File:
- 15826.xml