/MSc-Thesis-Septic-Shock-Mortality-Prediction

Master of Science thesis project regarding the prediction of septic shock mortality with deep learning and probabilistic fuzzy sytems.

Primary LanguageJupyter Notebook

Intro

Master's thesis project in completion of the Data Science & Entrepreneurship master at the Jheronimus Academy of Data Science. If you would like to reuse any of these materials, I highly recommend to read the thesis first. Appendix C contains more instructions on how to use the materials in this repo.

Citation

Thesis

@MastersThesis{reijnders2020mortality,
    author = {Reijnders, Kevin},
    title = {{Septic Shock Mortality Prediction Using Deep Learning and Probabilistic Fuzzy Systems}},
    school = {Eindhoven University of Technology},
    year = {2020}
    }

Software Implementation

@software{reijnders2020software
  title = {{Septic Shock Mortality Prediction Using Deep Learning and Probabilistic Fuzzy Systems: Software Materials}},
  author = {Reijnders, Kevin},
  url = {https://github.com/KevinReijnders/MSc-Thesis-Septic-Shock-Mortality-Prediction},
  version = {1.0},
  year = {2020}
}