ML-AIM Machine Learning and Artificial Intelligence for Medicine

Research Laboratory led by Prof. Mihaela van der Schaar

    Phenotyping and subgroup analysis

  1. J. Yoon, W. R. Zame, A. Banerjee, M. Cadeiras, A. Alaa, M. van der Schaar, "Personalized survival predictions via Trees of Predictors: An application to cardiac transplantation," PloS One, 2018. [Link] [Calculator Link]
  2. J. Yoon, W. R. Zame, M. van der Schaar, "ToPs: Ensemble Learning with Trees of Predictors," IEEE Transactions on Signal Processing (TSP), 2018. [Link]
  3. E. Cenko, J. Yoon, S. Kedev, G. Stankovic, Z. Vasiljevic, G. Krljanac, O. Kalpak, B. Ricci, D. Milicic, O. Manfrini, M. van der Schaar, L. Badimon, R. Bugiardini, "Sex Differences in Outcomes After STEMI: Effect Modification by Treatment Strategy and Age," JAMA Internal Medicine, 2018. [Link]
  4. M. K. Ross, J. Yoon, M. van der Schaar, "Discovering Pediatric Asthma Phenotypes Based on Response to Controller Medication Using Machine Learning," Annals of the American Thoracic Society, 2017. [Link]
  5. J. Yoon, A. M. Alaa, M. Cadeiras, M. van der Schaar, "Personalized Donor-Recipient Matching for Organ Transplantation," AAAI, 2017. [Link] [Poster]
  6. A. Alaa, K. H. Moon, W. Hsu and M. van der Schaar, "ConfidentCare: A Clinical Decision Support System for Personalized Breast Cancer Screening," IEEE Transactions on Multimedia - Special Issue on Multimedia-based Healthcare, 2016. [Link]
  7. A. Bellot, M. van der Schaar, "A Hierarchical Bayesian Model for Personalized Survival Predictions," IEEE J. Biomedical and Health Informatics, 2018. [Link] [Supplementary Materials]