IoT Based Environment Monitoring and Disease Prediction Using Geometric Progression
Journal: International Journal of Science and Research (IJSR) (Vol.9, No. 1)Publication Date: 2020-01-05
Authors : Aditya S. Jawalkar;
Page : 265-267
Keywords : Geometric progression; disease prediction; machine learning;
Abstract
For the last few years, challenges of monitoring and control of distant environmental parameters accurately have emerged as a new field of research. The concept of the Internet of Things (IoT) is also emerging very fast where everything around us comes with internet connectivity for monitoring and control. Monitoring the environmental parameters and initiating a control action from the internet is also part of this concept. In our proposed work, we design an environment monitoring system, capable of monitoring and control of environmental parameters like temperature, pressure, and humidity. The modern approach to healthcare is to prevent the disease with early mediation rather than go for treatment after diagnosis. Traditionally, physicians or doctors use a risk calculator to predict the possibility of disease development. These calculators use Basic information such as demographics, medical conditions, life routines, and more to calculate the probability of developing a certain disease. In this approach, we are predicting disease outbreak according to the environmental condition.
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