Debadri3 / Personalized-Cancer-Diagnosis Public

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Personal project for prediction of a cancer mutation label based on text and gene features. Libraries used: Scikit-learn, Matplotlib, Seaborn, Numpy, Pandas, MLXtend, SciPy etc

GPL-3.0 license

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Name		Name	Last commit message	Last commit date
Latest commit History 38 Commits
static		static
templates		templates
LICENSE		LICENSE
Procfile		Procfile
README.md		README.md
application.py		application.py
cancerlr.pkl		cancerlr.pkl
onehotgene.pkl		onehotgene.pkl
onehottext.pkl		onehottext.pkl
onehotvariation.pkl		onehotvariation.pkl
requirements.txt		requirements.txt

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Heroku deployment URL: https://personalized-cancer-api.herokuapp.com

Please see below video in case Heroku link is inactive-

screen-capture-cancer.webm

Blog post for the project: https://medium.com/analytics-vidhya/redefining-cancer-treatment-the-memorial-sloan-way-b71ef4eed284

Steps to run the project on your local host-

Clone the repository and open the command prompt in the clone directory.
Install required packages pip install -r requirements.txt
Run the 'application.py' file. python application.py

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Personal project for prediction of a cancer mutation label based on text and gene features. Libraries used: Scikit-learn, Matplotlib, Seaborn, Numpy, Pandas, MLXtend, SciPy etc

GPL-3.0 license

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