v3551G / MLHC2018_SequenceTransformerNetworks

Code release for "Learning to Exploit Invariances in Clinical Time-Series Data Using Sequence Transformer Networks" (Oh, Wang, Wiens), MLHC 2018. https://arxiv.org/abs/1808.06725

Home Page:http://proceedings.mlr.press/v85/oh18a

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MLHC2018_SequenceTransformerNetworks

Code for the experiments run in:
Jeeheh Oh, Jiaxuan Wang, Jenna Wiens. “Learning to Exploit Invariances in Clinical Time-Series Data Using Sequence Transformer Networks.” Machine Learning for Healthcare Conference, 2018.

SeqTN_functions.py

  • HP_search()
  • test()
  • train()
  • SeqTN() : Sequence Transformer Networks
  • CNN() : the baseline CNN

Data can be downloaded here: https://mimic.physionet.org/
Data can be preprocessed via code found here: https://github.com/YerevaNN/mimic3-benchmarks

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Code release for "Learning to Exploit Invariances in Clinical Time-Series Data Using Sequence Transformer Networks" (Oh, Wang, Wiens), MLHC 2018. https://arxiv.org/abs/1808.06725

http://proceedings.mlr.press/v85/oh18a


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