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Yue Zha, Yuanzhi Ke, Xiao Hu and Caiquan Xiong
Named entity recognition (NER) is particularly challenging for medical texts due to the high domain specificity, abundance of technical terms, and sparsity of data in this field. In this work, we propose a novel attention layer, called the ?ontology atte...
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Xingyu Li, Amit Madhukar Kudke, Felix Joseph Nepveux V and Yan Xu
This network-based pharmacology study intends to uncover the underlying mechanisms of cannabis leading to a therapeutic benefit and the pathogenesis for a wide range of diseases claimed to benefit from or be caused by the use of the cannabis plant. Canna...
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Chiara Zucco, Clarissa Paglia, Sonia Graziano, Sergio Bella and Mario Cannataro
While several studies have shown how telemedicine and, in particular, home telemonitoring programs lead to an improvement in the patient?s quality of life, a reduction in hospitalizations, and lower healthcare costs, different variables may affect telemo...
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Oguz Akbilgic, Ramin Homayouni, Kevin Heinrich, Max Raymond Langham and Robert Lowell Davis
Text fields in electronic medical records (EMR) contain information on important factors that influence health outcomes, however, they are underutilized in clinical decision making due to their unstructured nature. We analyzed 6497 inpatient surgical cas...
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