. Author manuscript; available in PMC: 2025 Feb 13.

Published in final edited form as: Proc Conf Empir Methods Nat Lang Process. 2022 Dec;2022:2873–2885. doi: 10.18653/v1/2022.emnlp-main.185

Table 2:

Longitudinal imputation perplexity (lpl) & cross-modality imputation perplexity (mpl) of models on different kinds of events. Best values are in bold. ± value indicates the 95% confidence interval.

Method/Event	Diagnosis		Procedure		Drug		Lab Test
perplexity	`lpl`	`mpl`	`lpl`	`mpl`	`lpl`	`mpl`	`lpl`	`mpl`
LSTM+MLP	125.1 ± 5.3	122.9 ± 2.0	40.3 ± 1.7	43.8 ± 0.9	173.3 ± 1.9	169.5 ± 0.5	68.9 ± 0.3	71.3 ± 0.5
LSTM+MedGAN	169.2 ± 6.0	109.8 ± 3.1	54.4 ± 2.5	40.1 ± 1.4	197.3 ± 2.5	166.7 ± 0.9	76.9 ± 0.3	66.2 ± 0.2
SynTEG	130.4 ± 4.6	130.0 ± 2.6	46.4 ± 1.8	46.2 ± 1.5	175.6 ± 2.0	175.4 ± 0.9	69.5 ± 0.2	69.6 ± 0.3
GPT-2	121.1 ± 1.8	134.2 ± 0.9	38.7 ± 0.9	48.2 ± 0.5	166.4 ± 1.8	169.6 ± 0.6	69.7 ± 0.1	69.6 ± 0.1
`PromptEHR`	65.9 ± 2.0	67.7 ± 0.6	13.5 ± 0.8	10.1 ± 0.3	104.7 ± 1.8	93.7 ± 0.5	24.4 ± 0.1	50.1 ± 0.1