GitHub Repository
Health-Universe/MediPredict
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Ready
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Updated On
This web app provides a user-friendly interface to predict multiple diseases based on various input features. The machine learning models used in this application are trained on relevant datasets to make accurate predictions. The diseases currently supported by this web app include: Diabetes Parkinson's disease Heart disease Breast cancer

More details

Use Cases Limitations Evidence Owner's Insight

Diabetes Model: This model can be used to predict the likelihood of a person having diabetes based on input features such as glucose level, blood pressure, BMI, etc.

Parkinson's Disease Model: This model can be used to predict the presence of Parkinson's disease in a person based on features extracted from voice recordings.

Heart Disease Model: This model can be used to predict the presence of heart disease based on various clinical and demographic features of a person.

Breast Cancer Model: This model can be used to predict whether a breast mass is malignant or benign using features derived from breast cytology.

See owner's GitHub repository for more information: https://github.com/AryanKaushal2002/MediPredict

See owner's GitHub repository for more information: https://github.com/AryanKaushal2002/MediPredict

This application was not uploaded by the author, but through their publicly available Github Repository, https://github.com/AryanKaushal2002/MediPredict.

MIT License

Prototype

Warning: Not intended for clinical use. Assume outputs are unsafe and unvalidated. Use carefully.


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  • Clinical Informatics

Owner

A Aryan Kaushal

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