2024
Identifying signs and symptoms of urinary tract infection from emergency department clinical notes using large language models
Iscoe M, Socrates V, Gilson A, Chi L, Li H, Huang T, Kearns T, Perkins R, Khandjian L, Taylor R. Identifying signs and symptoms of urinary tract infection from emergency department clinical notes using large language models. Academic Emergency Medicine 2024, 31: 599-610. PMID: 38567658, DOI: 10.1111/acem.14883.Peer-Reviewed Original ResearchElectronic health recordsNatural language processingNatural language processing modelsEmergency departmentTransformer-based modelsClinical notesF1-measureClinical decision supportLanguage modelSpaCy modelsU.S. health systemElements of natural language processingPublic health surveillanceConvolutional neural network-based modelProcessing long documentsIdentification of symptomsHealth recordsHealth systemClinician notesNeural network-based modelMedical careHealth surveillanceSymptom identificationEntity recognitionNetwork-based model
2022
Recurrent neural network models (CovRNN) for predicting outcomes of patients with COVID-19 on admission to hospital: model development and validation using electronic health record data
Rasmy L, Nigo M, Kannadath B, Xie Z, Mao B, Patel K, Zhou Y, Zhang W, Ross A, Xu H, Zhi D. Recurrent neural network models (CovRNN) for predicting outcomes of patients with COVID-19 on admission to hospital: model development and validation using electronic health record data. The Lancet Digital Health 2022, 4: e415-e425. PMID: 35466079, PMCID: PMC9023005, DOI: 10.1016/s2589-7500(22)00049-8.Peer-Reviewed Original ResearchConceptsLight Gradient Boost MachineFeature engineeringGradient-boosting machineMultiple machine learning modelsElectronic health record dataNeural network-based modelReal-world datasetsRecurrent neural network modelComplex feature engineeringMachine learning modelsBinary classification taskSpecific feature selectionLogistic regression algorithmNeural network modelHealth record dataRecurrent neural network-based modelBinary classification modelNetwork-based modelTraditional machineExtensive data preprocessingHigh prediction accuracyMultiple external datasetsClassification taskData preprocessingFeature selection
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