Zobrazeno 1 - 10
of 14
pro vyhledávání: '"Barbara G. Beckerman"'
Publikováno v:
Genetic and Evolutionary Computation: Medical Applications
Currently, no automated means of detecting abnormal mammograms exist. While knowledge discovery capabilities through data mining and data analytics tools are widespread in many industries, the healthcare industry as a whole lags far behind. Providers
Publikováno v:
Information Visualization. 5:290-295
The Defense Advanced Research Projects Agency Virtual Soldier Project recently investigated methods to predict outcomes from penetrating wounds based on comparison of complex mathematical models and clinical data including baseline X-ray computed tom
Autor:
Barbara G. Beckerman, D. S. Hartley
Publikováno v:
International Oil Spill Conference Proceedings. 1997:63-68
The U.S. Coast Guard commissioned an evaluation of the appropriateness of adjusting the current limits of liability for oil spills from transportation-related onshore facilities, based on the requirements of the Oil Pollution Act of 1990. Extensive d
A Computational Framework for Search, Discovery, and Trending of Patient Health in Radiology Reports
Publikováno v:
HISB
The healthcare industry as a whole lags far behind other industries in terms of knowledge discovery capabilities. There are many piece-wise approaches to analysis of patient records. Unfortunately, there are few approaches that enable a completely au
Publikováno v:
IHI
As massive collections of digital health data are becoming available, the opportunities for large-scale automated analysis increase. In particular, the widespread collection of detailed health information is expected to help realize a vision of evide
Publikováno v:
GECCO (Companion)
An abdominal aortic aneurysm is a problem in which the wall of the artery that supplies blood to the abdomen and lower extremities expands under pressure or balloons outward. Patients must undergo surgery to repair such an aneurysm, and there is curr
Publikováno v:
SEHC@ICSE
Recent advances in techniques such as image analysis, text analysis and machine learning have shown great potential to assist physicians in detecting and diagnosing health issues in patients. In this paper, we describe the approach and findings of an
Autor:
Barbara G. Beckerman
Publikováno v:
2010 Biomedical Sciences and Engineering Conference.
The theme of the annual conference of the Biomedical Science and Engineering Center (BSEC) at Oak Ridge National Laboratory is Biomedical Research and Analysis in Neuroscience (BRAiN). The welcoming remarks will include an introduction to the topic,
Publikováno v:
GECCO (Companion)
Radiologists disagree with each other over the characteristics and features of what constitutes a normal mammogram and the terminology to use in the associated radiology report. Recently, the focus has been on classifying abnormal or suspicious repor
Publikováno v:
2009 First Annual ORNL Biomedical Science & Engineering Conference.
Various computer-assisted technologies have been developed to assist radiologists in detecting cancer; however, the algorithms still lack high degrees of sensitivity and specificity, and must undergo machine learning against a training set with known