2019
DOI: 10.4018/ijhisi.2019070104
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Using Data Analytics to Predict Hospital Mortality in Sepsis Patients

Abstract: 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-hospital mortality among Se… Show more

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Cited by 4 publications
(2 citation statements)
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“…The benefits that are the most frequently expected are operational ( n =83). BDA is expected to help improve the quality of clinical decisions ( n =34) [ 39 , 45 , 57 , 77 ] and outcomes ( n =27) [ 37 , 53 , 54 , 58 , 61 , 78 ]. It is also expected to enable cost-reduction ( n =38) by reducing unnecessary care [ 41 , 56 , 64 , 79 – 81 ] and admissions [ 58 , 82 , 83 ]; productivity gains ( n =26) by optimizing resource usage in care and administrative units [ 32 , 84 , 85 ]; or service improvement ( n =27) by providing healthcare professionals new operational tools to support their practices [ 44 , 82 ].…”
Section: Resultsmentioning
confidence: 99%
“…The benefits that are the most frequently expected are operational ( n =83). BDA is expected to help improve the quality of clinical decisions ( n =34) [ 39 , 45 , 57 , 77 ] and outcomes ( n =27) [ 37 , 53 , 54 , 58 , 61 , 78 ]. It is also expected to enable cost-reduction ( n =38) by reducing unnecessary care [ 41 , 56 , 64 , 79 – 81 ] and admissions [ 58 , 82 , 83 ]; productivity gains ( n =26) by optimizing resource usage in care and administrative units [ 32 , 84 , 85 ]; or service improvement ( n =27) by providing healthcare professionals new operational tools to support their practices [ 44 , 82 ].…”
Section: Resultsmentioning
confidence: 99%
“…It addresses both the lack of skilled doctors (Economic Times, 2018) among a multitude of ways within healthcare (Saha, 2018). It can be used to address data quality issues with Electronic Health Records (EHR) data, so it then may be used in applications such as predictive modelling in preventative health programs or predictive therapy (Eubanks, 2017;Khumalo et al, 2019;Alnsour et al, 2019). It is encouraging to note that the AI technology is found to have contributed effective supports to the Indian healthcare system.…”
Section: Introductionmentioning
confidence: 99%