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The diversity of infectious agents capable of inducing meningitis and blood-brain barrier (BBB) injury suggests the potential for a common host mediator. The inflammatory polypeptides, IL-1 and TNF, were tested in an experimental rat model as candidate mediators for induction of meningitis and BBB injury. Intracisternal challenge of rIL-1 beta into rats(More)
BACKGROUND There is increasing interest in mathematical methods for the prediction of medical outcomes. Three methods have attracted particular attention: logistic regression, classification trees (such as ID3 and CART), and neural networks. To compare their relative performance, we used a large clinical database to develop and compare models using these(More)
This paper compares the performance of logistic regression to decision-tree induction in classifying patients as having acute cardiac ischemia. This comparison was performed using the database of 5773 patients originally used to develop the logistic-regression tool and test it prospectively. Both the ability to classify cases and the ability to estimate the(More)
The cerebral capillary endothelium is unique and functions as an effective blood-brain barrier (BBB) owing to its intercellular tight junctions and rare pinocytotic vesicles. To assess how bacterial meningitis alters the BBB, rats were inoculated intracisternally with three encapsulated meningeal pathogens (Escherichia coli K1+, Streptococcus pneumoniae(More)
This paper reports on a formative evaluation of the diagnostic capabilities of the Heart Failure Program, which uses a probability network and a heuristic hypothesis generator. Using 242 cardiac cases collected from discharge summaries at a tertiary care hospital, we compared the diagnoses of the program to diagnoses collected from cardiologists using the(More)
The task of making a large complex diagnostic program available to a broad audience of physicians has become more feasible with the ubiquitous accessibility of the client-server architecture of the World Wide Web. This paper describes the design and implementation of a Web interface for the Heart Disease Program (HDP). The client-server architecture imposes(More)
Flow cytometry is a common technique for quantitatively measuring the expression of individual molecules on cells. The molecular expression is represented by a frequency histogram of fluorescence intensity. For flow cytometry to be used as a knowledge discovery tool to identify unknown molecules, histogram comparison is a major limitation. Many traditional(More)
The Heart Disease Program produces detailed causal diagnostic hypotheses for patients with cardiovascular diseases. This poster discusses our experience with summarizing these hypotheses for the physician. The basic approach is to merge the nodes of the structure indicating causal mechanism into the more important nodes. Analysis of the results shows that(More)
Coronary Heart Disease (CHD) is a common form of disease affecting the heart and an important cause for premature death. From the point of view of medical sciences, data mining is involved in discovering various sorts of metabolic syndromes. Classification techniques in data mining play a significant role in prediction and data exploration. Classification(More)