International Journal of Science and Research (IJSR)

International Journal of Science and Research (IJSR)
Call for Papers | Fully Refereed | Open Access | Double Blind Peer Reviewed

ISSN: 2319-7064


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Review Papers | Homeopathy | India | Volume 11 Issue 2, February 2022


Homoeopathy - Adopting and Adapting Digital Artificial Intelligence

Dr. K. Sathish Kumar


Abstract: Upgrading yourself is the only way of staying ahead. To upgrade is to make improvement in something or exchange it for better version. There may be up gradation of skills, knowledge or system. Homoeopathy is a gentle but effective form of treatment which stimulates the natural ability of the organism to heal itself. Main principle of homoeopathy, the law of similars, which predicts that a disease can be cured by a medicine, which in healthy people is able to produce a condition that resembles the disease. The law of similars is probably a basic law of nature. Homoeopathy has ability to treat many chronic diseases such as Cancer, Diabetes, Arthritis and Asthma. During consultations, homoeopaths use Materia Medica - in which descriptions of the therapeutic effects of the remedies are gathered and repertories in a digital or a print medium to help them find the indicated remedy. So for upgrading this holistic system of medicine there must be full-fledged inclusion of technology that allows computers and machines to function in an intelligent manner. This computer or machine based intelligence is called as Artificial intelligence. It is the simulation of human intelligence processes by machines, especially computer systems. We all know that technology has great potential in reducing overloads from human shoulders, storage capability, saving costs and lots more. But its functionality in Homoeopathy, came in to the view a few decades back when repertory software came into existence. By adopting and adapting this digital world in the field of Homoeopathy we can create a revolutionary change.


Keywords: Homoeopathy, Artificial intelligence, Machine Learning, Data Mining, Diabetes


Edition: Volume 11 Issue 2, February 2022,


Pages: 559 - 561


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