Google Inc.

Yuan Xue

Kun Zhang

Yingwei Cui

Andrew M Dai

Dengyong Zhou

Nan Du

Zhen Xu

A deep state space generative model is augmented with intervention prediction. The state space model provides a principled way to capture the interactions among observations, interventions, critical event occurrences, true states, and associated uncertainty. The state space model can include a discrete-time hazard rate model that provides flexible fitting of general survival time distributions. The state space model can output a joint prediction of event risk, observation and intervention trajectories based on patterns in temporal progressions, and correlations between past measurements and interventions.

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Palo Alto, CA, United States of America

Yuan Xue