Prof. John V Guttag
Dugald C Jackson Professor of Computer Science and Engineering
Primary DLC
Department of Electrical Engineering and Computer Science
MIT Room:
32-G966
Areas of Interest and Expertise
Applications of Networked and Mobile Systems
Advanced Software-Based Medical Instrumentation and Decision Systems
Bluetooth Scatternets (Blueware)
Application of Machine Learning and Data Mining Techniques to Large Data Sets, Especially Medical Data Sets
Application of Computer Vision to Medicine
Sports Analytics
Big Data
Healthcare: Value-Based, Triple Aim, Future Models
Advanced Software-Based Medical Instrumentation and Decision Systems
Bluetooth Scatternets (Blueware)
Application of Machine Learning and Data Mining Techniques to Large Data Sets, Especially Medical Data Sets
Application of Computer Vision to Medicine
Sports Analytics
Big Data
Healthcare: Value-Based, Triple Aim, Future Models
Research Summary
Professor Guttag does his research in the Laboratory for Computer Science, where he is co-leader of the Networks and Mobile Systems Group. This group studies issues related to computer networks, applications of networked and mobile systems, and advanced software-based medical instrumentation systems. Professor Guttag has also done research, published, and lectured in the areas of software engineering, mechanical theorem proving, hardware verification, compilation, software radios, and medical computing.
-
Projects
December 5, 2017Department of Electrical Engineering and Computer Science
Data-Driven Inference Group (DIG)
Principal Investigator John Guttag
September 24, 2014Department of Electrical Engineering and Computer ScienceUncovering Clinically Relevant Medical Knowledge
Principal Investigator John Guttag
Eulerian Video Magnification for Revealing Subtle Changes in the World
Principal Investigator John Guttag
March 13, 2009Department of Electrical Engineering and Computer ScienceFinding Medically Relevant Patterns in Lengthy Streams of Physiological Data
Principal Investigator John Guttag
February 18, 1998Department of Electrical Engineering and Computer ScienceLarch
Principal Investigator John Guttag
-
Video
John Guttag - 2018 Japan Conference
Transforming Healthcare Using Machine Learning
Many poor healthcare outcomes and the majority of wasted healthcare spending can be attributed to bad decision making. It is widely accepted that decision support systems are needed to address this issue, and that machine learning has a key role to play in constructing such systems. However, learning to predict the impact of care decisions is made challenging by the need to scale out to complex populations being managed for complex diseases across complex care networks. We will present some recent work that addresses these challenges.
Machine Learning Medicine
John Guttag
MIT Dugald C. Jackson Professor of Computer Science & Engineering
