Jay L. Schauben

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OBJECTIVE Every year, toxic exposures kill 1200 Americans. To aid in the timely diagnosis and treatment of such exposures, this research investigates the feasibility of a knowledge-based system capable of generating differential diagnoses for human exposures involving unknown toxins. METHODS Data mining techniques automatically extract prior probabilities(More)
reproduction in any medium, provided the original work is properly cited. Objective To describe the use of poison center data for public health surveillance from the poison center, local, state, and federal public health perspectives and to generate meaningful discussion on how to address the challenges to collaboration.
OBJECTIVE This paper presents continued research toward the development of a knowledge-based system for the diagnosis of human toxic exposures. In particular, this research focuses on the challenging task of diagnosing exposures to multiple toxins. Although only 10% of toxic exposures in the United States involve multiple toxins, multiple exposures account(More)
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