Research summary
Our health-care systems automatically collect data—and if we can learn how to use these data effectively, we can begin to implement automatic recommendations directly within the system.
As Canada Research Chair in Causal Inference and Machine Learning in Health Science, Dr. Mireille Schnitzer is studying how physicians can use data from health systems to make better decisions when they treat patients. This work involves figuring out how to predict a patient’s future health and choose a new medication or intervention to maximize it. Both of these steps involve developing statistical models that can reliably interpret the information contained in different types of health data to answer our questions.