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Lee, Junghye (이정혜)

Department
School of Management Engineering(경영공학부)
Research Interests
Data Mining in Healthcare, Chemometrics, Machine Learning, Probabilistic Graphical Models
Lab
Website
https://sites.google.com/site/junghyelee08/
This table browses all dspace content
Issue DateTitleAuthor(s)TypeViewAltmetrics
201808A Data-Driven Procedure of Providing a Health Promotion Program for Hypertension PreventionLee, Junghye; Kwon, Ryeok-Hwan; Kim, Hyung Woo, et alARTICLE128 A Data-Driven Procedure of Providing a Health Promotion Program for Hypertension Prevention
201805Privacy-Preserving Predictive Modeling: Harmonization of Contextual Embeddings From Different SourcesHuang, Yingxiang; Lee, Junghye; Wang, Shang, et alARTICLE84 Privacy-Preserving Predictive Modeling: Harmonization of Contextual Embeddings From Different Sources
201804Deep learning-based monitoring of overshooting cloud tops from geostationary satellite dataKim, Miae; Lee, Junghye; Im, JunghoARTICLE81 Deep learning-based monitoring of overshooting cloud tops from geostationary satellite data
201804Privacy-Preserving Patient Similarity Learning in a Federated Environment: Development and AnalysisLee, Junghye; Sun, Jimeng; Wang, Fei, et alARTICLE118 Privacy-Preserving Patient Similarity Learning in a Federated Environment: Development and Analysis
201802Interleaved incremental association Markov blanket as a potential feature selection method for improving accuracy in near-infrared spectroscopic analysisChang, Kyeol; Lee, Junghye; Jun, Chi-Hyuck, et alARTICLE149 Interleaved incremental association Markov blanket as a potential feature selection method for improving accuracy in near-infrared spectroscopic analysis
201610Risk assessment for hypertension and hypertension complications incidences using a Bayesian networkLee, Junghye; Lee, Wonji; Park, Il-Su, et alARTICLE87 Risk assessment for hypertension and hypertension complications incidences using a Bayesian network
2016Acquisition of a series of temperature-varied sample spectra to induce characteristic structural changes of components and selection of target-descriptive variables among them for multivariate analysis to improve accuracyChang, Kyeol; Lee, Junghye; Jun, Chi-Hyuck, et alARTICLE107 Acquisition of a series of temperature-varied sample spectra to induce characteristic structural changes of components and selection of target-descriptive variables among them for multivariate analysis to improve accuracy
201510Kernel-based calibration methods combined with multivariate feature selection to improve accuracy of near-infrared spectroscopic analysisLee, Junghye; Chang, Kyeol; Jun, Chi-Hyuck, et alARTICLE125 Kernel-based calibration methods combined with multivariate feature selection to improve accuracy of near-infrared spectroscopic analysis
201506Classification of High Dimensionality Data through Feature Selection Using Markov BlanketLee, Junghye; Jun, Chi-HyuckARTICLE102 Classification of High Dimensionality Data through Feature Selection Using Markov Blanket
201503Causality Analysis for Public and Private Expenditures on Health Using Panel Granger-Causality TestLee, Su-Dong; Lee, Junghye; Jun, Chi-HyuckARTICLE99 Causality Analysis for Public and Private Expenditures on Health Using Panel Granger-Causality Test
201412Prediction of Hypertension Complications Risk Using Classification TechniquesLee, Wonji; Lee, Junghye; Lee, Hyeseon, et alARTICLE121 Prediction of Hypertension Complications Risk Using Classification Techniques

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