2018
Applying advanced analytics to guide emergency department operational decisions: A proof-of-concept study examining the effects of boarding
Taylor R, Venkatesh A, Parwani V, Chekijian S, Shapiro M, Oh A, Harriman D, Tarabar A, Ulrich A. Applying advanced analytics to guide emergency department operational decisions: A proof-of-concept study examining the effects of boarding. The American Journal Of Emergency Medicine 2018, 36: 1534-1539. PMID: 29310983, DOI: 10.1016/j.ajem.2018.01.011.Peer-Reviewed Original Research
2016
Prediction of In‐hospital Mortality in Emergency Department Patients With Sepsis: A Local Big Data–Driven, Machine Learning Approach
Taylor RA, Pare JR, Venkatesh AK, Mowafi H, Melnick ER, Fleischman W, Hall MK. Prediction of In‐hospital Mortality in Emergency Department Patients With Sepsis: A Local Big Data–Driven, Machine Learning Approach. Academic Emergency Medicine 2016, 23: 269-278. PMID: 26679719, PMCID: PMC5884101, DOI: 10.1111/acem.12876.Peer-Reviewed Original ResearchConceptsMachine learning approachesElectronic health recordsLearning approachPredictive analyticsMachine learning techniquesRandom forest modelClinical decision support systemBig Data DrivenDecision support systemForest modelLearning techniquesUse casesData-DrivenFacilitate automationTraditional analytic techniquesAnalyticsSupport systemSimple heuristicsNew analyticsHealth recordsSmall setTree modelQuestion of generalizabilityPrediction modelDecision rules