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Diagnostic Support System for Euthyroid Sick Syndrome based on Machine Learning Algorithms Approches

Home Page: https://cilab-ufersa-euthyroid-diagnostic-support-app-appmain-4kig00.streamlit.app/

License: MIT License

Python 100.00%
artificial-intelligence healthcare-application machine-learning streamlit-webapp thyroid-disease-detection

euthyroid_diagnostic_support_app's Introduction

Euthyroid Diagnostic Support Application

Figure

Prerequisites

What things you need to have to be able to run:

  • Python 3.6 +
  • Pip 3+
  • VirtualEnvWrapper is recommended but not mandatory

Requirements

$ pip install -r requirements.txt

Run

$ streamlit run  main.py

In virtual codespace

$ streamlit run main.py --server.enableCORS false --server.enableXsrfProtection false

Scientific Developers

👤 Vinicius Almeida: [email protected]

👤 Caio Moisés: [email protected]

Technical and scientific support

👤 Rosana Rego


WARNING

While test and model results are important, it is critical to remember that they should not be used as a sole source of information or as a definitive decision. It is essential that a healthcare professional use their clinical knowledge and judgment to properly interpret and evaluate these results, ensuring that patients receive the most appropriate and safe treatment.


Support by

Publications related to this project

Rego, Rosana; Almeida, Vinicius; Cavalcante, Caio; Lima Nathalee. DIAGNOSTIC SUPPORT SYSTEM FOR EUTHYROID SICK SYNDROME BASED ON MACHINE LEARNING ALGORITHMS APPROACHES. International Conference on Intelligent Systems and New Applications (ICISNA'23), 2023.

euthyroid_diagnostic_support_app's People

Contributors

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Watchers

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euthyroid_diagnostic_support_app's Issues

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