2023
Liver cancer risk quantification through an artificial neural network based on personal health data
Ataei A, Deng J, Muhammad W. Liver cancer risk quantification through an artificial neural network based on personal health data. Acta Oncologica 2023, 62: 495-502. PMID: 37211681, DOI: 10.1080/0284186x.2023.2213445.Peer-Reviewed Original ResearchConceptsNational Health Interview SurveyLiver cancer riskHealth dataCancer riskHealth Interview SurveyHepatocellular carcinomaPersonal health dataHigh-risk populationLiver cancerInterview SurveyReceiver operating characteristic curveArea under the receiver operating characteristic curveCancer-related deathsPrimary liver cancerHealthOvarian cancerTherapeutic optionsMalignant diseaseTest cohortEarly detectionAggressive progressionRiskCancerCharacteristic curveLiver
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
2019
Scoring colorectal cancer risk with an artificial neural network based on self-reportable personal health data
Nartowt BJ, Hart GR, Roffman DA, Llor X, Ali I, Muhammad W, Liang Y, Deng J. Scoring colorectal cancer risk with an artificial neural network based on self-reportable personal health data. PLOS ONE 2019, 14: e0221421. PMID: 31437221, PMCID: PMC6705772, DOI: 10.1371/journal.pone.0221421.Peer-Reviewed Original ResearchConceptsNational Health Interview SurveyUnited States Preventative Services Task ForceColorectal cancerPredictive valueDiagnosis of CRCColorectal cancer riskHealth Interview SurveyHigh-risk categoryNegative predictive valuePositive predictive valueMultivariable prediction modelHealth dataUSPSTF guidelinesRisk score methodCRC riskFamily historyCancer riskHigh riskAge 50Individual prognosisLower riskPersonal health dataClinical applicabilityInterview SurveyCancerStratifying Ovarian Cancer Risk Using Personal Health Data
Hart GR, Nartowt BJ, Muhammad W, Liang Y, Huang GS, Deng J. Stratifying Ovarian Cancer Risk Using Personal Health Data. Frontiers In Big Data 2019, 2: 24. PMID: 33693347, PMCID: PMC7931902, DOI: 10.3389/fdata.2019.00024.Peer-Reviewed Original ResearchOvarian cancer riskCancer riskOvarian Cancer Screening TrialNational Health Interview SurveyCancer Screening TrialHigh-risk populationHealth Interview SurveyHealth dataOvarian cancer detectionDifferent risk categoriesPublic health organizationsOvarian cancerScreening TrialGeneral populationLower riskPersonal health dataTargeted screeningGenetic testingRisk categoriesHealth OrganizationInterview SurveyCancerCharacteristic curveNon-invasive wayCancer detectionPancreatic Cancer Prediction Through an Artificial Neural Network
Muhammad W, Hart GR, Nartowt B, Farrell JJ, Johung K, Liang Y, Deng J. Pancreatic Cancer Prediction Through an Artificial Neural Network. Frontiers In Artificial Intelligence 2019, 2: 2. PMID: 33733091, PMCID: PMC7861334, DOI: 10.3389/frai.2019.00002.Peer-Reviewed Original ResearchNational Health Interview SurveyPancreatic cancer riskPancreatic cancerCancer riskHigh-risk patientsCancer-specific symptomsHealth Interview SurveyReliable screening toolHigh riskTesting cohortAdvanced stagePatientsScreening toolEarly detectionInterview SurveyCancerCharacteristic curveHigh discriminatory powerHealth dataRiskOvarian cancer datasetDiscriminatory powerCancer predictionArtificial neural networkColorectal