A new method for augmenting short time series, with application to pain events in sickle cell disease (opens in new tab)

Author summary When studying health conditions like sickle cell disease, we often face a frustrating challenge: individual patient datasets are too small or sparse to draw reliable conclusions. We developed a method to overcome this by combining data from multiple patients who show similar patterns, effectively treating them as different snapshots of the same underlying process. We tested this approach on pain event data from sickle cell disease patients, where understanding pain patterns is ...