Comments (3)
Hi,
The list of integers (e.g. [3, 5, 2]) can be transformed into a multi-hot vector (e.g. [0, 0, 1, 1, 0, 1, 0, 0, ...]). The dimensionality of the multi-hot vector is equivalent to the number of unique codes in your data.
Thanks,
Ed
from med2vec.
Hi there, sorry to bother you again, but I wonder weather med2vec could handle a situation where each patient has only one visit, namely the trainings data is in the form of, for example, [[2,5,8],[-1],[6,9,23],[-1],[7,9,21]], since in the examples you give in README, each patient has at least two visits.
Thanks a lot for your responses
from med2vec.
In that case, med2vec won’t be trained properly because there are no neighboring visits to predict.
from med2vec.
Related Issues (20)
- TyperError: Expected Variable, got odict values HOT 4
- Negative Visit Forward Cross-Entropy on MIMIC-III HOT 1
- Questions about experiments HOT 1
- How to tune parameters to avoid cost:nan? HOT 1
- Where I can find the AHFS classification table? HOT 1
- Cannot able to Interpret Output of npz model File HOT 6
- Negative Code Embeddings HOT 2
- high training cost HOT 2
- Scatter plot from learned code representations HOT 16
- Epochs and loss during training HOT 3
- Mapping embeddings to ICD codes HOT 2
- NaN gradient may be due to weight initialization HOT 4
- Interpretation of learned representations
- How to make demo.txt
- GPU training fails HOT 5
- Cost and Weights are NAN HOT 2
- output file HOT 2
- Output model/weights? HOT 3
- Questions about complexity analysis HOT 5
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from med2vec.