Disease Trajectories and Disease Atlases

Principal Investigator

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• Prof. Mihaela van der Schaar

Students

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• Bryan Lim
• Ahmed Alaa
• Jinsung Yoon

Collaborators

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• Dr. Scott Hu

Publications

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B. Lim, M. van der Schaar, "Disease-Atlas: Navigating Disease Trajectories with Deep Learning," Submitted, 2018. [Link]

A. Alaa, J. Yoon, S. Hu and M. van der Schaar, "Personalized Risk Scoring for Critical Care Prognosis using Mixtures of Gaussian Processes," accepted and appear to IEEE Transactions on Biomedical Engineering, 2017. [Link]

A. M. Alaa, J. Yoon, S. Hu, M. van der Schaar, "A Semi-Markov Switching Linear Gaussian Model for Censored Physiological Data," NIPS - Workshop on Machine Learning for Health, 2016. [Link]

A. Alaa and M. van der Schaar, "A Hidden Absorbing Semi-Markov Model for Informatively Censored Temporal Data: Learning and Inference," accepted and to appear in Journal of Machine Learning Research (JMLR), 2017. [Link]