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
Predicting 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 ResearchConceptsNon-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