Feb
27
Mon
BMIR Special Research Colloquium: Ram D. Sriram “Information Technology for the Health Care Enterprise” @ MSOB, Conference Room X-275
Feb 27 @ 12:00 pm – 1:00 pm

Ram D. Sriram

 

Ram D. Sriram, PhD
Chief, Software and Systems Division
Information Technology Laboratory
National Institute of Standards and Technology

Monday, February 27th, 2017, 12:00 pm to 1:00 pm
MSOB Conference Room X-275

ABSTRACT:
According to a report by the Center for Medicare and Medicaid Services [CMS] (http://www.cms.gov), the United States spent nearly $3.0 trillion dollars on health care in 2014, which is about 17.5% of the nation’s GDP.  Several studies have pointed out that properly implemented health information technology (HIT) could result in significant savings and improved health care. We use the term “health care informatics” for all software aspects of the healthcare enterprise: health information technology, modeling and simulation, bioinformatics, medical devices integration, and bioimaging. In this talk, I will discuss our work (at NIST) on health care informatics, focusing on: 1) Testing the nationwide health information network; 2) Medical device interoperability; 3) Systems biology/medicine, with a focus on protein-protein interaction; and 4) Medical/bioimaging.

About the Speaker:
Ram D. Sriram is currently the chief of the Software and Systems Division, Information Technology Laboratory, at the National Institute of Standards and Technology. Before joining the Software and Systems Division, Sriram was the leader of the Design and Process group in the Manufacturing Systems Integration Division, Manufacturing Engineering Laboratory, where he conducted research on standards for interoperability of computer-aided design systems. Prior to joining NIST, he was on the engineering faculty (1986-1994) at the Massachusetts Institute of Technology (MIT) and was instrumental in setting up the Intelligent Engineering Systems Laboratory. Sriram has co-authored or authored more than 250 publications, including several books.   Sriram was a founding co-editor of the International Journal for AI in Engineering. Sriram received several awards including: an NSF’s Presidential Young Investigator Award (1989); ASME Design Automation Award (2011); ASME CIE Distinguished Service Award (2014); the Washington Academy of Sciences’ Distinguished Career in Engineering Sciences Award (2015); ASME CIE division’s Lifetime Achievement Award (2016).  Sriram is a Fellow of ASME, AAAS, IEEE and Washington Academy of Sciences, a member (life) of ACM and AAAI. Sriram has a B.Tech. from IIT, Madras, India, and an M.S. and a Ph.D. from Carnegie Mellon University, Pittsburgh, USA

Nov
30
Thu
BMIR Research in Progress: Wen-wai Yim “Classification of Hepatocellular Carcinoma Stages from Free-text Clinical and Radiology Reports” @ MSOB, Conference Room X-275
Nov 30 @ 12:00 pm – 1:00 pm

wen wai Yim

Wen-Wai Yim
Postdoctoral Scholar
BMIR, Stanford University

“Classification of Hepatocellular Carcinoma Stages from Free-text Clinical and Radiology Reports”

Abstract: Cancer stage information is important for clinical research. However, they are not always explicitly noted in electronic medical records. In this talk, we present our work on automatic classification of hepatocellular carcinoma (HCC) stages from free-text clinical and radiology notes. To accomplish this, we defined 11 stage parameters used in the three HCC staging systems, American Joint Committee on Cancer (AJCC), Barcelona Clinic Liver Cancer (BCLC), and Cancer of the Liver Italian Program (CLIP). After aggregating stage parameters to the patient-level, the final stage classifications were achieved using an expert-created decision logic. Each stage parameter relevant for staging was extracted using several classification methods, e.g. sentence classification and automatic information structuring, to identify and normalize text as cancer stage parameter values. Stage parameter extraction for the test set performed at 0.81 F1. Cancer stage prediction for AJCC, BCLC, and CLIP stage classifications were 0.55, 0.50, and 0.43 F1.