Events Calendar

SmartCare: A Discovery and Clinical Decision Support System for Personalized Healthcare

Speaker: Mihaela van der Schaar, UCLA

Talk Title: Ai Seminar: SmartCare: A Discovery and Clinical Decision Support System for Personalized Healthcare

Series: Artificial Intelligence Seminar

Abstract: Modern technology makes it possible to collect more and more data for each patient; modern record-keeping makes it possible to access more and more data from past patients. Unfortunately, it has so far not been possible to make use of all this data to create a system of personalized diagnosis and treatment.Instead, current diagnosis and treatment continues to rely on Clinical Practice Guidelines, which are largely based on experience and opinion rather than on scientific analysis and evidence, are geared towards the -lowest common
denominator-, ignore the strengths of a given institution (e.g. specialists, technology) and are targeted toward a representative patient rather than toward the unique characteristics of the current patient.

In this talk, I will present a novel framework SmartCare that integrates the (longitudinal, multi-modal) data of the current patient (demographic information, current medical condition, medical/family history, availability of home care, etc.) with what has been learned from previous patients to recommend personalized diagnosis and treatment. To do so,
SmartCare must overcome enormous conceptual, theoretical and practical challenges, some of which will
be discussed in the talk.

SmartCare has already recorded an important (even remarkable) success: a vastly improved procedure for breast cancer screening. Current clinical practice (BI-RADS: Breast Imaging
Report and Data System) results in an enormous number of false positives, leading to many further invasive and unnecessary procedures (including surgery) that involve needless risk,
suffering and expense. The SmartCare procedure reduces false positives by 39% while maintaining the same misdetection rate. In the U.S. alone, this means 80,000 fewer false positives per year.


Biography: Mihaela van der Schaar is Chancellor's Professor of Electrical Engineering at University of California, Los Angeles. She received an NSF CAREER Award (2004), the Okawa Foundation Award (2006), the IBM Faculty Award (2005, 2007, 2008), and several best paper awards, including the 2011 IEEE Circuits and Systems Society Darlington Award Best Paper Award. She holds 33 granted US patents. She is also the founding and managing director of the UCLA Center for Engineering Economics, Learning, and Networks (see http://netecon.ee.ucla.edu). Her research interests are in data science, medical informatics, machine learning, game theory, and network science. For more information about her research visit: http://medianetlab.ee.ucla.edu/

Host: Greg Ver Steeg

Webcast: http://webcasterms1.isi.edu/mediasite/Viewer/?peid=2cad8868c8314e248c72e1ba11c4c0e61d

Location: Information Science Institute (ISI) - 6th Flr Conf Rm # 689, Marina Del Rey

WebCast Link: http://webcasterms1.isi.edu/mediasite/Viewer/?peid=2cad8868c8314e248c72e1ba11c4c0e61d

Audiences: Everyone Is Invited

Contact: Peter Zamar