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Using Data Analytics to Predict Hospital Mortality in Sepsis Patients
International Journal of Healthcare Information Systems and Informatics
Predictive analytics can be used to anticipate the risks associated with some patients, and prediction models can be employed to alert physicians and allow timely proactive interventions. Recently, health care providers have been using different types of tools with prediction capabilities. Sepsis is one of the leading causes of in-hospital death in the United States and worldwide. In this study, the authors used a large medical dataset to develop and present a model that predicts in-hospitaldoi:10.4018/ijhisi.2019070105 fatcat:zqsrmo3kyzdhfoaqmxf7k7exau