Evaluation and Investigation of Anti-diabetes profiles using Medicinal plants by Data Visualization Techniques
Abstract & Details
Research Area
computer science and engineering
Keywords
Diabetes
Insulin
Phytoconstituents
Pancreas
Blood glucose
Beta cell
Antidiabetic
streptozotocin
Hypoglycaemic
Medicinal plant
Abstract
Diabetes mellitus represents one of the most
widespread metabolic illnesses, with ef ects on the
micro and macrovascular system that dramatically
raise morbidity and death. Diabetes mellitus is the
most prevalent endocrine illness in the world and is
predicted to cause the largest epidemic in the history
of mankind. Popular anti-diabetic medications have
lately been created and placed on the market,
although artificial pharmaceutical use for the
semi-permanent treatment of diabetes is restricted.
Healthy vegetables are extremely important in the
management of diabetic.Around the world, a number
of beneficial plants and the associated traditional
diabetes remedies they relate to are employed, and
they provide potential alternatives for the management
of diabetes therapy. Additionally, during the past ten
years, numerous metabolomics research have focused
on how various herbal medications work. The current
study intends to review several plant species of Indian
ancestry and their ingredients, which are used in the
standard medicine delivery system and have
demonstrated clinical action.The purpose is to find out
if plants, plant parts, or plant extracts can be utilised
to treat diabetes mellitus, the current review's goal is
to examine the available evidence. The Indian
aesthetic has extremely deep roots in the creation of
natural treatments. People still rely on herbal
medication systems for primary healthcare in the
majority of agricultural area units today.
License
This work is licensed under a Creative
Commons
Attribution-ShareAlike 4.0 International License.
Author Information
| # | Name | Institute / Affiliation |
|---|---|---|
| 1 | Chethana L | Dayananda Sagar Academy of Technology And Management |
| 2 | Harish | Dayananda Sagar Academy of Technology And Management |
| 3 | Keerthi G Ganiga | Dayananda Sagar Academy of Technology And Management |
| 4 | Keerthi Prasanna R G | Dayananda Sagar Academy of Technology And Management |
| 5 | Dr G Manjula | Dayananda Sagar Academy of Technology And Management |
How to Cite
Use the following formats to cite this article in your research.
APA Style
L, Chethana, Harish, Ganiga, Keerthi G, G, Keerthi Prasanna R, & Manjula, Dr G (2023). Evaluation and Investigation of Anti-diabetes profiles using Medicinal plants by Data Visualization Techniques. International Journal of Advance Research and Innovative Ideas In Education, 9(1), 1569-1573.
MLA Style
L, Chethana, et al. "Evaluation and Investigation of Anti-diabetes profiles using Medicinal plants by Data Visualization Techniques." International Journal of Advance Research and Innovative Ideas In Education, vol. 9, no. 1, 2023, pp. 1569-1573.
IEEE Style
Chethana L, Harish, Keerthi G Ganiga, Keerthi Prasanna R G, and Dr G Manjula, "Evaluation and Investigation of Anti-diabetes profiles using Medicinal plants by Data Visualization Techniques," International Journal of Advance Research and Innovative Ideas In Education, vol. 9, no. 1, pp. 1569-1573, 2023.
Vancouver Style
L Chethana, Harish, Ganiga Keerthi G, G Keerthi Prasanna R, Manjula Dr G. Evaluation and Investigation of Anti-diabetes profiles using Medicinal plants by Data Visualization Techniques. International Journal of Advance Research and Innovative Ideas In Education. 2023;9(1):1569-1573.
Harvard Style
L, Chethana, Harish, Ganiga, Keerthi G, G, Keerthi Prasanna R, & Manjula, Dr G (2023) 'Evaluation and Investigation of Anti-diabetes profiles using Medicinal plants by Data Visualization Techniques', International Journal of Advance Research and Innovative Ideas In Education, 9(1), pp. 1569-1573.
Chicago Style
L, Chethana, et al. "Evaluation and Investigation of Anti-diabetes profiles using Medicinal plants by Data Visualization Techniques." International Journal of Advance Research and Innovative Ideas In Education 9, no. 1 (2023): 1569-1573.
Turabian Style
L, Chethana, et al. "Evaluation and Investigation of Anti-diabetes profiles using Medicinal plants by Data Visualization Techniques." International Journal of Advance Research and Innovative Ideas In Education 9, no. 1 (2023): 1569-1573.
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