Machine learning is a part of AI which develops algorithms to learn patterns and make decision form the massive data. Recently, Machine learning has been used to resolving various critical medical problems. Diabetes is one of the dangerous disease, which can lead to more complicated, including deaths if not timely treated. The study is designed for providing the prevalence of Diabetes Mellitus in Tiruchirappalli district using machine learning algorithms and it was detected that the polluted air causes diabetes disease and also increases the risk of that disease. This proposed work helps the people in preventing diabetes disease using various diabetic attributes with an aim to enhance the quality of healthcare and lessen the diagnoses cost of the disease. In future, the work done may be extended by considering many other attributes and by implementing it through various algorithms to improve the prediction accuracy of diabetes mellitus.
Diabetes mellitus is a non-communicable disease, however it may lead to other health problems such as blood pressure, heart attack, vision problem, slow healing sores to patients with arthritis etc. Diabetes disease is caused due to lifestyle, food habits, and low level of fabrication of insulin and pedigree factors of individual. According to the study, there will be 552 million people around the world will be affected by diabetes at 2030. This paper estimates the total populations of type 2 diabetes patients in the central region (Cuddalore, Thanjavur, Perambalur, Tiruchirappalli, Ariyalur, Karur, Nagapattinam, Thiruvarur, Pudukottai, and Karaikal) of Tamil Nadu. Diabetes patients have been diagnosed with the help of various parameters such as blood pressure, body mass index, dietary history, physical activity and pollution level in the air. The Honeywell HPm series particle sensor is used to access the PM 2.5, PM 10 levels in the air. Considering the air quality as a parameter, there are lots of illnesses caused by air pollutants and also cause additional problems for people who are already suffering due to disease. This review work provides the knowledge about the prevalence of type-2diabetes and it will help people to take precautions about diabetes disease and its risk.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
hi@scite.ai
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
Copyright © 2024 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.