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svmoptimizeddiseasediagnosisassistant's Introduction

SVM Based Disease Diagnosis Assistant

N|Solid

A nature-inspired metaheuristic optimized SVM Disease Diagnosis Assistant.

MATLAB 2019b

Features

The system can train and test various diseases using an interactive window.

Available diseases can be viewed in the available diseases tab.

N|Solid

Models can be trained and optimized using meta-heauristic techniques such as Particle Swarm optimization, Bat algorithm, Whale Optimization.

N|Solid

Once the models are trained they can be tested using the Diagnose Patient Tab.

N|Solid

Datasets from the University of California, Irvine (UCI) Machine Learning Repository is used to train , optimize and deploy the trained model.

  • Acute Inflammation
  • Breast Cancer Winsconsic Diagnostic
  • Cervical Cancer Behaviour
  • Chronic Kidney
  • Coimbra
  • Lung Cancer
  • Lymphography
  • Respiratory Diseases

Installation

The Disease Diagnosis Assistant was developed using MATLAB 2019b.

Pull the repo into a locally installed MATLAB and run DiseaseUI. Once app designer opens click run.

Enjoy.

License

MIT

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