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 detection