Fei Wang
Assistant Professor of Healthcare Policy and Research
Weill Cornell Medical College
Is Your Data Cheating You?
Towards Explainable AI in Medicine with Knowledge Empowerment
Abstract
With the arrival of big data era, more and more data in different real world applications are becoming readily available. Artificial Intelligence (AI), which aims at providing the computer with the capability of learning from data like humans, is becoming ubiquitous. Many sophisticated AI models, such as deep learning, has been very popular. However, the success of these methods usually required huge amount of data, while in medicine it is usually costly or even impossible to get such large amount of data. Therefore only limited data samples are available, in which case the existing AI methodologies could easily overfit and thus misled by the data. In this talk, I will present some of the research from my lab on how to armor AI algorithms with domain knowledge to make them more effectively discover the genuine insights from data. Specifically, I will talk about how to enhance data-driven algorithms with knowledges as well as the concrete examples on knowledge acquisition and integration. I will also present examples on how they can be used in real world medical problems.
DATE: Wednesday, February 21, 2018
TIME: 4:00 pm
PLACE: Philip E. Austin Bldg., Rm. 108
Coffee will be served at 3:30 pm in the Noether Lounge (AUST 326)
For more information, contact: Tracy Burke at tracy.burke@uconn.edu