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 ResearchMeSH KeywordsCarcinoma, HepatocellularHumansLiver NeoplasmsMaleNeural Networks, ComputerRisk FactorsROC CurveConceptsNational 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
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 SurveyCancer
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 dataA multi-parameterized artificial neural network for lung cancer risk prediction
Hart GR, Roffman DA, Decker R, Deng J. A multi-parameterized artificial neural network for lung cancer risk prediction. PLOS ONE 2018, 13: e0205264. PMID: 30356283, PMCID: PMC6200229, DOI: 10.1371/journal.pone.0205264.Peer-Reviewed Original ResearchMeSH KeywordsAgedAsthmaEarly Detection of CancerFemaleHumansLung NeoplasmsMaleMiddle AgedNeural Networks, ComputerRisk AssessmentRisk FactorsSmokingStrokeConceptsLung cancer risk predictionHistory of strokeNon-invasive clinical toolLung cancer riskHealth informationPersonal health informationNon-cancer casesCancer risk predictionRisk stratificationSmoking statusHeart diseaseExercise habitsHispanic ethnicityLung cancer detectionCancer riskClinical toolAdult dataRisk predictionModest sensitivityCancer detectionAUCHigh specificitySpecificityHypertensionAsthmaPredicting non-melanoma skin cancer via a multi-parameterized artificial neural network
Roffman D, Hart G, Girardi M, Ko CJ, Deng J. Predicting non-melanoma skin cancer via a multi-parameterized artificial neural network. Scientific Reports 2018, 8: 1701. PMID: 29374196, PMCID: PMC5786038, DOI: 10.1038/s41598-018-19907-9.Peer-Reviewed Original ResearchMeSH KeywordsDecision Support TechniquesDiagnostic Tests, RoutineEarly DiagnosisFemaleHumansMaleMiddle AgedNeural Networks, ComputerROC CurveSensitivity and SpecificitySkin NeoplasmsConceptsNon-melanoma skin cancerFamily historySkin cancerUVR exposureHistory of strokePotential predictive parametersNon-cancer casesFamily history informationUltraviolet radiation exposureDiabetic statusSmoking statusHeart diseaseRisk factorsExercise habitsHispanic ethnicityPredictive parametersAdult survey dataEarly detectionRadiation exposureROC curveHealth informationPersonal health informationNovel associationsCancerExposure