https://github.com/projects-developer/virus-prediction-using-machine-learning

Viral infections are a major public health concern worldwide. Early prediction and detection of viral infections can significantly improve treatment outcomes and prevent the spread of diseases. Project Includes Source Code, PPT, Synopsis, Report, Documents, Base Research Paper & Video tutorials
https://github.com/projects-developer/virus-prediction-using-machine-learning

btechprojects computerscienceprojects healthcareanalytics machinelearning machinelearningapplications machinelearningforhealthcare mlforhealthcare mtechprojects publichealth viraldiseasemodeling viralgenomics virusprediction

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Viral infections are a major public health concern worldwide. Early prediction and detection of viral infections can significantly improve treatment outcomes and prevent the spread of diseases. Project Includes Source Code, PPT, Synopsis, Report, Documents, Base Research Paper & Video tutorials

• Host: GitHub
• URL: https://github.com/projects-developer/virus-prediction-using-machine-learning
• Owner: Projects-Developer
• Created: 2024-12-20T12:15:43.000Z (6 months ago)
• Default Branch: main
• Last Pushed: 2025-01-18T12:55:03.000Z (5 months ago)
• Last Synced: 2025-02-23T20:22:31.928Z (4 months ago)
• Topics: btechprojects, computerscienceprojects, healthcareanalytics, machinelearning, machinelearningapplications, machinelearningforhealthcare, mlforhealthcare, mtechprojects, publichealth, viraldiseasemodeling, viralgenomics, virusprediction
• Homepage: https://www.finalproject.in/
• Size: 7.81 KB
• Stars: 0
• Watchers: 1
• Forks: 0
• Open Issues: 1
• Metadata Files:
  • Readme: README.md

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README

        
# Virus Prediction Using Machine Learning

Virus Prediction Using Machine Learning Code, Document And Video Tutorial

![virus](https://github.com/user-attachments/assets/8bf6f1da-ce84-4ade-91ee-16adf26fbe33)

## Youtube link: https://youtu.be/eUYSX3zV_-k?si=BTZFjmdFAf7lPnqi

## Abstract:

Viral infections pose a significant threat to global health, emphasizing the need for accurate and timely prediction. This study proposes a machine learning-based approach for virus prediction, leveraging clinical and biological features to forecast the likelihood of viral infections. Our model, trained on a comprehensive dataset, achieves high accuracy and demonstrates the potential for early detection and prevention. This innovative approach can support clinical decision-making, enhance public health surveillance, and inform personalized treatment strategies.

Keywords: Virus Prediction, Machine Learning, Early Detection, Prevention, Clinical Decision Support, Public Health Surveillance, Personalized Medicine.

### Project include: 

1. Synopsis

2. PPT

3. Research Paper

4. Code

5. Explanation video

6. Documents

7. Report

### Need Code, Documents & Explanation video ? 

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