Vijay Huddar

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Postoperative Acute Respiratory Failure (ARF) is a serious complication in critical care affecting patient morbidity and mortality. In this paper we investigate a novel approach to predicting ARF in critically ill patients. We study the use of two disparate sources of information – semi-structured text contained in nursing notes and investigative reports(More)
Binary classification based methods are commonly used for designing predictive models in heaIthcare. A common problem in many heaIthcare datasets is that of imbalance, where there are far more observations in one class than the other during training. In such conditions, most classifiers do not have good predictive accuracy with respect to the(More)
An Acute Hypotensive Episode (AHE) is the sudden onset of a period of sustained low blood pressure and is one of the most critical conditions in Intensive Care Units (ICU). Without timely medical care, it can lead to irreversible organ damage and death. By identifying patients at risk for this complication, adequate medical intervention can save lives and(More)
Patients in hospitals, particularly in critical care, are susceptible to many complications affecting morbidity and mortality. Digitized clinical data in electronic medical records can be effectively used to develop machine learning models to identify patients at risk of complications early and provide prioritized care to prevent complications. However,(More)
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