Juan I. Casse

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Electronic Health Records (EHRs) consist of sparse, noisy, incomplete, heterogeneous and unevenly sampled clinical data of patients. They include physiological signals, lab test results, procedural events, clinical notes. Such data can be treated as a temporal stream of events of varied types occurring at irregularly spaced time points. We focus on modeling(More)
In this work, we will identify important variables that contribute to vehicular movement in an emergency environment. In particular, we formulate and pose the Convoy Routing Problem. We suggest a method for modeling the problem and formulate a precise problem statement that significantly reduces the number of variables under consideration. The difficulty of(More)
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