AyurMedBase. An Ayurvedic Medicinal Database for Traditional and Ayurvedic Medicinal Systems
Autor: | Kaladhar DSVGK, M. A. Prasad, S Sri Krishna Keerthi |
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EAN: | 9783656739661 |
eBook Format: | PDF/ePUB |
Sprache: | Deutsch |
Produktart: | eBook |
Veröffentlichungsdatum: | 10.09.2014 |
Kategorie: | |
Schlagworte: | ayurmedbase ayurvedic database medicinal systems traditional |
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Skript aus dem Jahr 2014 im Fachbereich Informatik - Software, , Sprache: Deutsch, Abstract: In recent times focus on plant research has increased all over the world and a large body of evidence has been accumulated to highlight the immense potential of medicinal plants used in various traditional system of medicine. AyurMedBase is a medicinal plant database providing information and treatment of diseases. The database provides 147 plants information and their uses. The common name, scientific name and other details with ayurvedic uses have been presented. This database is highly useful to people in the treatment and cure of diseases naturally from plants of Andhra Pradesh.
Dr. DSVGK Kaladhar is a teacher and researcher, completed Master of Science and Doctoral Degree in ANU, Guntur, India. He is working as faculty member and researcher since 14 years. Dr.Kaladhar was presently working as HOD/Associate Professor (Microbiology and Bioinformatics), Deputy registrar and Director, College Development Council in Bilaspur University, Bilaspur, India. He has published various books, national and International journals. His areas of specializations are biology, Bioinformatics and Computer Sciences.
Dr. DSVGK Kaladhar is a teacher and researcher, completed Master of Science and Doctoral Degree in ANU, Guntur, India. He is working as faculty member and researcher since 14 years. Dr.Kaladhar was presently working as HOD/Associate Professor (Microbiology and Bioinformatics), Deputy registrar and Director, College Development Council in Bilaspur University, Bilaspur, India. He has published various books, national and International journals. His areas of specializations are biology, Bioinformatics and Computer Sciences.