Arash Bedayat

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In this paper we describe an efficient tool based on natural language processing for classifying the detail state of pulmonary embolism (PE) recorded in CT pulmonary angiography reports. The classification tasks include: PE present vs. absent, acute PE vs. others, central PE vs. others, and subsegmental PE vs. others. Statistical learning algorithms were(More)
Keywords lung cancer, mesothelioma, non-small cell and small cell carcinomas Comments This project has been funded in whole or in part with federal funds from the Summary and Key Points 1. Tobacco is the leading cause of lung cancer. Radon exposure in the air over time is a second, but distant leading cause. Asbestos exposure, especially when combined with(More)
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