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Mobile and Web application for real time early prediction of sepsis(6 hours before the onset). I did pre processing, data visualisation , feature engineering and all the data science and machine learning work, I also handled Google Cloud and real time analysis. A flask app is built and deployed on heroku platform

License: Apache License 2.0

Jupyter Notebook 99.41% HTML 0.51% Kotlin 0.01% Swift 0.01% Objective-C 0.01% Dart 0.03% Java 0.03%
data-science flask flutter heroku-deployment machine-learning prediction preprocessing sepsis

sepsis-prediction's Introduction

     

Hola Amigos!! 👋

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  • 💭 Blogs on ML, DL, GANS, Polity and International Relations, History, Philosphy, Astronomy, Cosmology, Astrophysics etc. etc.
  • 🎸 I like to play guitar with keen understanding of musical notations 🎼
  • 🏏 like most of the Indians, I consider Cricket as a worship under the summer sun.
  • 📚 Currently reading - Tiger Throne.

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