IoT Based Environment Monitoring and Disease Prediction Using Geometric Progression
International Journal of Science and Research (IJSR)

International Journal of Science and Research (IJSR)
www.ijsr.net | Open Access | Fully Refereed | Peer Reviewed International Journal

ISSN: 2319-7064


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Review Papers | Electronics & Communication Engineering | India | Volume 9 Issue 1, January 2020

IoT Based Environment Monitoring and Disease Prediction Using Geometric Progression

Aditya S. Jawalkar, Shweta U.Patil

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.

Keywords: Geometric progression, disease prediction, machine learning, Raspberry Pi

Edition: Volume 9 Issue 1, January 2020

Pages: 265 - 267

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How to Cite this Article?

Aditya S. Jawalkar, Shweta U.Patil, "IoT Based Environment Monitoring and Disease Prediction Using Geometric Progression", International Journal of Science and Research (IJSR), https://www.ijsr.net/search_index_results_paperid.php?id=ART20203905, Volume 9 Issue 1, January 2020, 265 - 267

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