CMWM is a recurrent latent world model for forecasting patient trajectories like annual eGFR in CKD, reporting 7.28% lower MAE than a tuned GPT-5.5 baseline on a 2232-patient cohort with gains from dialogue data.
Deep learning prediction models based on EHR trajectories: a systematic review.Journal of Biomedical Informatics, 144:104430, 2023
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ChronoMedicalWorld: A Medical World Model for Learning Patient Trajectories from Longitudinal Care Data
CMWM is a recurrent latent world model for forecasting patient trajectories like annual eGFR in CKD, reporting 7.28% lower MAE than a tuned GPT-5.5 baseline on a 2232-patient cohort with gains from dialogue data.