2020
Automated Empathy Detection for Oncology Encounters
Chen Z, Gibson J, Chiu M, Hu Q, Knight T, Meeker D, Tulsky J, Pollak K, Narayanan S. Automated Empathy Detection for Oncology Encounters. 2020, 00: 1-8. DOI: 10.1109/ichi48887.2020.9374402.Peer-Reviewed Original ResearchSupport vector machineManual annotationAverage precisionLanguage processing pipelineReal-world facesTranscription of speechMultimodal systemProcessing pipelineManual processEmpathic interactionsVector machineAutomatic speechEmpathic opportunitiesAcoustic featuresAudio-recorded encountersEmpathyDecision makingAnnotationSpeechOncology encountersClinical interactionsAudioMachinePeople's situationFeelings
2017
Very Deep Convolutional Neural Networks for Morphologic Classification of Erythrocytes
Durant T, Olson EM, Schulz WL, Torres R. Very Deep Convolutional Neural Networks for Morphologic Classification of Erythrocytes. Clinical Chemistry 2017, 63: 1847-1855. PMID: 28877918, DOI: 10.1373/clinchem.2017.276345.Peer-Reviewed Original ResearchConceptsConvolutional neural networkNeural networkDeep convolutional neural networkDense shortcut connectionsNeural network designSlow manual processSignificant labor costsClassification of erythrocytesWeb applicationCapable machinesUnseen dataShortcut connectionsManual processEnsemble model predictionsDigital imagesPrecision metricsArchitectural considerationsNetwork designAutomated profilingClassification frequencyMisclassification errorPractical performanceFinal databaseHarmonic meanNetwork
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