Comments (1)
The data set will look something like the figure below.
TEMP, PH etc. are all features, each red point represents feature value at one time point. Diagnosis vector (one-hot encoded) not shown in the picture will be class labels.
Each training example will be a sequence of shape [1, time_steps, number_of_features]
so your batch's shape will be [batch_size, time_steps, number_of_features]
.
Please see section on Dataset Description in paper for more detail. You can use subset of MIMIC-III. But as mentioned in the notebook pre-processing is required according to the use case.
from multilabel-timeseries-classification-with-lstm.
Related Issues (9)
- Input format? HOT 1
- Clarification regarding the data shape illustration HOT 1
- data.csv missing HOT 4
- data
- Testing Dataset HOT 14
- multilabel classification ? HOT 3
- error in creating multilayer lstm
- Data format HOT 1
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from multilabel-timeseries-classification-with-lstm.