2023
Digital Twins for Radiation Oncology
Jensen J, Deng J. Digital Twins for Radiation Oncology. 2023, 989-993. DOI: 10.1145/3543873.3587688.Peer-Reviewed Original ResearchDigital twin technologyDigital twinTwin technologyDigital twin networkModern cryptographic techniquesClinical decision-making supportDecision-making supportCryptographic techniquesVirtual clinical trialsTwin networkConventional machineGeneralized architectureFuture scientific advancesNatural applicationModeling techniquesPatient dataTechnologyMultiple institutionsLarge numberArchitectureMachineMultiscale modeling techniqueNetworkApplicationsTechnique
2020
Robust Machine Learning for Colorectal Cancer Risk Prediction and Stratification
Nartowt BJ, Hart GR, Muhammad W, Liang Y, Stark GF, Deng J. Robust Machine Learning for Colorectal Cancer Risk Prediction and Stratification. Frontiers In Big Data 2020, 3: 6. PMID: 33693381, PMCID: PMC7931964, DOI: 10.3389/fdata.2020.00006.Peer-Reviewed Original ResearchArtificial neural networkNeural networkOne-hot encodingSupport vector machineNational Health Interview SurveyExpectation maximization imputationNaive BayesSupervised machineRobust machineVector machineRandom forestDecision treeCRC riskColorectal cancerPLCO datasetMachineScreening datasetsNetworkColorectal cancer risk predictionImputation methodsPrevention of CRCDatasetHealth Interview SurveyListwise deletionMethod combination