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About Disease Prediction Using Deep Learning
This document describes a project that uses deep learning to predict diseases based on symptoms. An artificial neural network model was developed and trained on a dataset of 5000 records containing 41 distinct disease classes. The model achieved a high success rate in disease prediction and diagnosis based on symptoms, making it a useful tool for early detection and identification of diseases. The project aims to build a web platform where users can enter symptoms and receive predictions of probable diseases and their likelihood. The software development lifecycle model used is the classic waterfall model, which involves requirements analysis, design, development, testing, deployment and maintenance stages.
Detailed Information
| Author: | ['Manoj Kumar'] |
|---|---|
| Publication Year: | 2021 |
| Pages: | 25 |
| Language: | English |
| Format: | |
| Price: | FREE |
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