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 dataPredicting 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