CMSA Colloquium: Data-driven machine learning approaches to monitor and predict events in healthcare. From population-level disease outbreaks to patient-level monitoring
April 1, 2020 4:30 pm - 5:30 pm
via Zoom Video Conferencing
Mauricio Santillana - Harvard University
Online via Zoom Video Conferencing: https://harvard.zoom.us/meeting/977347126
I will describe data-driven machine learning methodologies that leverage Internet-based information from search engines, Twitter microblogs, crowd-sourced disease surveillance systems, electronic medical records, and weather information to successfully monitor and forecast disease outbreaks in multiple locations around the globe in near real-time. I will also present data-driven machine learning methodologies that leverage continuous-in-time information coming from bedside monitors in Intensive Care Units (ICU) to help improve patients' health outcomes and reduce hospital costs.