time-series - How to handle multivariate data with varying time lengths in an LSTM?

问题描述

The dataset I have is a medical dataset, where measurements were taken at 6 month intervals. Now I want the model to predict 5 years into the future. However there are a lot of subjects that only have for example the first three years of 6 month interval data. How do I still use this data to build a LSTM where the objective is to forecast a value 5 years into the future? Do I have to do something with padding and masking?

Thank you

标签： time-serieslstmvarying

time-series - How to handle multivariate data with varying time lengths in an LSTM?

问题描述

解决方案

推荐阅读