Evaluation and Investigation of Anti-diabetes profiles using Medicinal plants by Data Visualization Techniques

February 2023
Vol-9, Issue-1
Paper ID: 19253
ISSN: 2395-4396
Downloads: 0

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.

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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