aqibsaeed / Multilabel Timeseries Classification With Lstm
Licence: apache-2.0
Tensorflow implementation of paper: Learning to Diagnose with LSTM Recurrent Neural Networks.
Stars: ✭ 519
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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.
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