[Curiosity] Extending word2vec to sequences with a timestamp

[octarinesun]

I've heard of using sequence embedding for things like visits to a website to predict purchase behavior or, more pertinent to my work, embeddings for patient visits to predict something like a hospital admission.

How can we extend what we will cover for word2vec and word embeddings to start looking at sequence embedding when there is a timestamp associated with the "word." Similar to what is covered in this "patient2vec" paper? https://arxiv.org/abs/1810.04793 or med2vec: https://arxiv.org/abs/1602.05568

[dougmet]

Only scanned the abstracts there but if time ordering is important then bringing in an RNN or LSTM will allow for sequences that are time ordered.