Journal of Health & Medical Informatics

Lukasz R Kiljanek

Publications

• Research Article
  Prediction of incident renal replacement therapy (iRRT) use in ICU population with artificial intelligence (AI), and SOFA, OASIS, APSIII severity scores
  Author(s): Lukasz R Kiljanek, Medstar Shah and Sandeep AggarwalLukasz R Kiljanek, Medstar Shah and Sandeep Aggarwal
  
  Background: Prediction tool for incident renal replacement therapy (iRRT) use could potentially improve outcomes in ICU population. We used the data from the Medical Information Mart for Intensive Care III (MIMIC III) database to create artificial intelligence (AI) iRRT use prediction model. Methods: Based on routinely collected data in ICU we identified and engineered 679 candidate predictors of iRRT use. The iRRT was defined as any dialysis-related event charted in the electronic medical record (EMR) within the seven days following the first 24 hours of ICU admission. ICU stays of patients on dialysis before ICU admission, and with dialysis-related events charted before the end of first 24 hours were excluded. Remaining 18379 ICU stays were randomly divided 400 times, into training and testing datasets. For each random training dataset, AI-m.. Read More»
  

  Abstract PDF