Mauricio Santillana, Ph.D., presents, "Machine Learning Approaches for Early Detection of Events in Healthcare. Epidemiological and Clinical Applications"

Thursday, December 14, 2017 - 12:30pm
Event Topics: 
Open Insights Seminar

Join us on Thursday, December 14 at 12:30pm in the Room 403 (4th Floor) for Mauricio Santillana’s talk. To learn more about this week’s guest speaker, please visit: https://dbmi.hms.harvard.edu/events/open-insights-seminar-series

 

Mauricio Santillana, Ph.D.

Assistant Professor

HMS and Boston Children's Hospital

 

"Machine Learning Approaches for Early Detection of Events in Healthcare. Epidemiological and Clinical Applications"

 

Dr. Santillana will describe machine learning methodologies that leverage Internet-based information from search engines, twitter microblogs, crowd-sourced disease surveillance systems, and electronic medical records, to successfully monitor and forecast disease outbreaks in multiple locations around the globe in near real-time. Dr. Santillana will also present 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. Dr. Santillana will describe how these methodologies can be used to determine whether a patient in the ICU is ready to be extubated or not, or to estimate the length of stay upon a patient's admission. 

 

The Department of Biomedical Informatics at Harvard Medical School is excited to announce "Open Insights" (http://dbmi.hms.harvard.edu/events/open-insights-seminar-series), a series of research talks related to the mission of the Department of Biomedical Informatics. This interdisciplinary seminar provides an open forum to engage participants in a discussion about the future of quantitative methods and engineering in biomedicine. Themes include human health, genomics, the impact of the environment, and data science.