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2023 | OriginalPaper | Chapter

Mobile Application for Predicting Diseases

Authors : G. S. Gowramma, S. P. Vaishnav Bharadwaj, P. Rahul

Published in: ICDSMLA 2021

Publisher: Springer Nature Singapore

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Abstract

There might be a lot of times that the user needs to know what he/she might have been going down with and keen to know what kind of disease they might be having so it is really easy for the user to contact the required doctor. The health disease prediction application comes in handy at many times. A lot of applications out there are concerned with a particular disease or some set of symptoms. Here, we propose a system that solves all the issues mentioned above. It is a mobile application where the user is instructed to add his/her symptoms and the disease that they might be having or tends to have will be displayed on the user screen. The user can access the latest news related to the medical. Here, we tend to use the machine learning algorithm that uses the trained data for predicting the disease. The user interface is built on JavaScript language using react native framework. Once the prediction is done using the major machine learning models, the result is being displayed to the user on the mobile application.

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Metadata
Title
Mobile Application for Predicting Diseases
Authors
G. S. Gowramma
S. P. Vaishnav Bharadwaj
P. Rahul
Copyright Year
2023
Publisher
Springer Nature Singapore
DOI
https://doi.org/10.1007/978-981-19-5936-3_36

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