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 SurveyCancerPancreatic 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
2018
Development and Validation of a Multiparameterized Artificial Neural Network for Prostate Cancer Risk Prediction and Stratification
Roffman DA, Hart GR, Leapman MS, Yu JB, Guo FL, Ali I, Deng J. Development and Validation of a Multiparameterized Artificial Neural Network for Prostate Cancer Risk Prediction and Stratification. JCO Clinical Cancer Informatics 2018, 2: 1-10. PMID: 30652591, PMCID: PMC6873987, DOI: 10.1200/cci.17.00119.Peer-Reviewed Original ResearchConceptsProstate Cancer Risk PredictionCancer risk predictionPositive predictive valueProstate cancerRisk predictionPredictive valueHistory of strokeHigh-risk subgroupsBody mass indexCancer risk stratificationHealth informationPersonal health informationPrimary prostate cancerYears of ageDiabetes statusRisk stratificationSmoking statusMass indexCancer populationHeart diseaseExercise habitsCancer riskHigh riskCutoff valueAdult survey data
2012
Personalized estimation of dose to red bone marrow and the associated leukaemia risk attributable to pelvic kilo-voltage cone beam computed tomography scans in image-guided radiotherapy
Zhang Y, Yan Y, Nath R, Bao S, Deng J. Personalized estimation of dose to red bone marrow and the associated leukaemia risk attributable to pelvic kilo-voltage cone beam computed tomography scans in image-guided radiotherapy. Physics In Medicine And Biology 2012, 57: 4599-4612. PMID: 22750636, DOI: 10.1088/0031-9155/57/14/4599.Peer-Reviewed Original ResearchConceptsKilo-voltage cone beamRed bone marrowLeukemia riskRBM doseImage-guided radiation therapyTomography scanBone marrowCone beamRadiogenic cancer riskRadiation therapy courseCancer patientsBone densityImage-guided radiotherapyRadiation therapyCancer riskHigh riskPersonalized estimationAnthropometric variablesTherapy courseDoseSubject groupsDosesBone dosesScansPatients