aqibsaeed/Multilabel-timeseries-classification-with-LSTM
Tensorflow implementation of paper: Learning to Diagnose with LSTM Recurrent Neural Networks.
This project helps medical professionals analyze complex patient health records over time to identify multiple potential diagnoses. By feeding in a patient's time-series medical data, it can help predict relevant health conditions. Clinical researchers or diagnostic specialists could use this to assist in patient evaluation.
574 stars. No commits in the last 6 months.
Use this if you need to classify time-ordered patient medical data into multiple possible diagnoses.
Not ideal if you are looking for a pre-trained model on MIMIC-III, as this implementation does not use the exact dataset from the original paper.
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Apr 18, 2017
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