World journal of critical care medicine
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World J Crit Care Med · Nov 2019
Machine learning in data abstraction: A computable phenotype for sepsis and septic shock diagnosis in the intensive care unit.
With the recent change in the definition (Sepsis-3 Definition) of sepsis and septic shock, an electronic search algorithm was required to identify the cases for data automation. This supervised machine learning method would help screen a large amount of electronic medical records (EMR) for efficient research purposes. ⋯ Supervised machine learning for identification of sepsis and septic shock is reliable and an efficient alternative to manual chart review.
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World J Crit Care Med · Nov 2019
Assessment of quadriceps muscle thickness using bedside ultrasonography by nurses and physicians in the intensive care unit: Intra- and inter-operator agreement.
Data regarding the agreement among multiple operators for measurement of quadriceps muscle thickness by bedside ultrasonography (USG) are sparse. ⋯ USG measurement of quadriceps muscle thickness was not dependent on clinical experience, supporting training for nurses in it.