2018
Derivation and validation of a chief complaint shortlist for unscheduled acute and emergency care in Uganda
Rice BT, Bisanzo M, Maling S, Joseph R, Mowafi H, Chamberlain S, Dreifuss B, Hammerstedt H, Langevin M, Nelson S, Periyanayagam U. Derivation and validation of a chief complaint shortlist for unscheduled acute and emergency care in Uganda. BMJ Open 2018, 8: e020188. PMID: 29950461, PMCID: PMC6020949, DOI: 10.1136/bmjopen-2017-020188.Peer-Reviewed Original ResearchConceptsChief complaintPatient visitsInter-rater reliabilityEmergency careQuality assurance databaseEmergency care practitionersConsensus processSubstantial inter-rater reliabilityRetrospective reviewDerivation datasetCare practitionersComplaintsValidation datasetSouthwestern UgandaSecond validation datasetVisitsCohen's kappaCareKappaSeparate validation datasetData entryProfit hospitalsStataHospitalUganda
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