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BACKGROUND Accurate analysis of CT brain scans is vital for diagnosis and treatment of Traumatic Brain Injuries (TBI). Automatic processing of these CT brain scans could speed up the decision making process, lower the cost of healthcare, and reduce the chance of human error. In this paper, we focus on automatic processing of CT brain images to segment and(More)
BACKGROUND Functional Magnetic Resonance Imaging (fMRI) has been proven to be useful for studying brain functions. However, due to the existence of noise and distortion, mapping between the fMRI signal and the actual neural activity is difficult. Because of the difficulty, differential pattern analysis of fMRI brain images for healthy and diseased cases is(More)
Detection of hypovolemia prior to overt hemodynamic decompensation remains an elusive goal in the treatment of critically injured patients in both civilian and combat settings. Monitoring of heart rate variability has been advocated as a potential means to monitor the rapid changes in the physiological state of hemorrhaging patients, with the most popular(More)
BACKGROUND This paper focuses on the creation of a predictive computer-assisted decision making system for traumatic injury using machine learning algorithms. Trauma experts must make several difficult decisions based on a large number of patient attributes, usually in a short period of time. The aim is to compare the existing machine learning methods(More)
Understanding mechanisms of protein flexibility is of great importance to structural biology. The ability to detect similarities between proteins and their patterns is vital in discovering new information about unknown protein functions. A Distance Constraint Model (DCM) provides a means to generate a variety of flexibility measures based on a given protein(More)
Many organizations transact in large amounts of data often containing personal identifiable information (PII) and various confidential data. Such organizations are bound by state, federal, and international laws to ensure that the confidentiality of both individuals and sensitive data is not compromised. However, during the privacy preserving process, the(More)
Based on the National Vital Statistics Reports 2001, nearly 115,200 lives are cut short annually because of traumatic injuries and many patients who survive traumatic events have to face the future with life-long disabilities that negatively affect them and their families [29]. Moreover, U.S. trauma center reports suggest that the annual death rate, as well(More)
Rainfall prediction is important in many aspects of our economy and general livelihood by preventing any serious natural disasters. Although numerous methodologies have been introduced to predict hourly rainfall, most of them cannot provide transparency of predicted outcomes. To overcome this limitation, we propose a computer-aided rule-based rainfall(More)