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A deep state-space analysis framework for cancer patient latent state estimation and classification from EHR time-series data

Fig 4

(a) The differences in the distribution of endpoints over time for deceased patients (red) and surviving patients (blue) in the time-series of latent states obtained by the proposed method (deep state-space model) and each comparison method (PCA, VAE, linear state-space model) is shown.

(b) This illustrates the state transition of a deceased patient as an example. The blue plots represent the latent states of all patients across all time-series and the plots change from white to red and then to black as time progresses.

Fig 4

doi: https://doi.org/10.1371/journal.pone.0341003.g004