andrianpr / Multilabel-timeseries-classification-with-LSTM

Tensorflow implementation of paper: Learning to Diagnose with LSTM Recurrent Neural Networks.

Multilabel time series classification with LSTM

Tensorflow implementation of model discussed in the following paper: Learning to Diagnose with LSTM Recurrent Neural Networks.

Tools Required

Python 3.5 is used during development and following libraries are required to run the code provided in the notebook:

• Tensorflow
• Numpy
• Pandas

Dataset

Cleaned version of MIMIC-III dataset and accompanying paper

MIMIC-III dataset can possibly be use to train and test the model. Beware this is not the data set used by the authors of the paper.

Note: If you see mistakes, want to suggest changes or have dataset that can be use to train/test the model, please submit a pull request.