A Deep learning model for collective disorder using Visual Geometry Group 16
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Date
2022
Journal Title
Journal ISSN
Volume Title
Publisher
NHCE
Abstract
In the current scenario, people have become vulnerable to various diseases due to their lifestyle and their environment. Many of the analyses that have already been done looked at specific diseases. A user needs to use one analysis when they want to analyse diabetes, and another analysis when they want to analyse heart disease. This process takes a while. Moreover, if any user having multiple diseases, but the current method can only anticipate one disease, there is a potential that the death rate may rise as a result of the inability to foresee the other diseases. It is feasible to predict multiple diseases simultaneously using a multi disease model. Hence Users do not need to navigate numerous models in order to predict diseases. Time will be cut short, and there is a likelihood that fatality rates will go down because it can predict several diseases at once.