The van der Schaar Lab’s eleventh Inspiration Exchange engagement session took place virtually on October 7, 2021, and was attended by students and professionals from the AI and machine learning community.
The focus of the session was time series—an absolutely vital topic (and key research pillar for the van der Schaar Lab) that touches all aspects of machine learning for healthcare. The first half of the session featured short presentations given by Mihaela van der Schaar, former Ph.D. student Changhee Lee, and research engineer Evgeny Saveliev.
The latter half of the session featured a Q&A, in which Mihaela and members of the lab answered questions from audience members about time series in healthcare.
Introduction – 0:00
Announcement regarding Ph.D. student recruitment – 3:16
Presentation by Mihaela van der Schaar [time series: challenges & solutions ] – 5:11
Presentation by Changhee Lee [temporal phenotyping] – 18:45
Presentation by Evgeny Saveliev [time series ML toolkit demonstration] – 27:44
Q&A question 1 – 40:58
Q&A question 2 – 45:24
Q&A question 3 – 50:10
Q&A question 4 – 53:13
Q&A question 5 – 56:30
Q&A question 6 – 1:00:06
Q&A question 7 – 1:03:42
Intro to next sessions – 1:08:09
For more info related to time series in healthcare, please view our overview here.
A full list of the lab’s publications can be found here.