Abstract: The Diabetes Prediction App is a vital healthcare tool developed using Django, designed to predict the likelihood of an individual developing diabetes based on various health parameters and risk factors. This project aims to provide users with an accessible and user friendly platform to assess their risk of diabetes and take preventive measures accordingly. Leveraging Django's capabilities, the application utilizes machine learning algorithms to analyse user input data and generate personalized risk assessments, empowering individuals to make informed decisions about their health.
Diabetes is a chronic disease with the potential to cause a worldwide health care crisis. According to International Diabetes Federation 382 million people are living with diabetes across the whole world. By 2035, this will be doubled as 592 million. Diabetes is a disease caused due to the increase level of blood glucose. This high blood glucose produces the symptoms of frequent urination, increased thirst, and increased hunger. Diabetes is a one of the leading cause of blindness, kidney failure, amputations, heart failure and stroke. When we eat, our body turns food into sugars, or glucose. At that point, our pancreas is supposed to release insulin. Insulin serves as a key to open our cells, to allow the glucose to enter and allow us to use the glucose for energy.
Keywords: Early Diagnosis, Health metrics, Clinical Practice, Public Health
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DOI:
10.17148/IJARCCE.2024.13675
