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Your idea is a good one.
Another idea is to upsample or aggregate your data. For example, average by week if you generally have a couple of missing days in every week.
A similar question on Stack Exchange:
https://stats.stackexchange.com/questions/374935/how-to-deal-with-really-sparse-time-series-data-for-a-binary-classification-task
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