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 ResearchConceptsNational 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 curveLiverStatistical biopsy: An emerging screening approach for early detection of cancers
Hart G, Yan V, Nartowt B, Roffman D, Stark G, Muhammad W, Deng J. Statistical biopsy: An emerging screening approach for early detection of cancers. Frontiers In Artificial Intelligence 2023, 5: 1059093. PMID: 36744110, PMCID: PMC9895959, DOI: 10.3389/frai.2022.1059093.Peer-Reviewed Original ResearchCancer riskDifferent cancer typesCancer typesStatistical modelRisk of complicationsIndividual cancer riskPersonal health dataHealth dataGeneral populationMultiple cancer risksBiopsyCancerContinuous outputMost cancersTraditional biopsyEarly detectionRiskBinary outputCancer detectionNeural networkMachine learningTraditional methodsMorbidityComplicationsModel
2020
Population-Based Screening for Endometrial Cancer: Human vs. Machine Intelligence
Hart GR, Yan V, Huang GS, Liang Y, Nartowt BJ, Muhammad W, Deng J. Population-Based Screening for Endometrial Cancer: Human vs. Machine Intelligence. Frontiers In Artificial Intelligence 2020, 3: 539879. PMID: 33733200, PMCID: PMC7861326, DOI: 10.3389/frai.2020.539879.Peer-Reviewed Original ResearchAverage-risk womenEndometrial cancerRisk womenOvarian Cancer Screening TrialEndometrial cancer riskCancer Screening TrialPrimary care physiciansPopulation-based screeningCancer risk predictionHealth dataCare physiciansGynecologic oncologistsRisk stratificationDisease onsetPositive rateIndividual patientsCancer riskInvasive proceduresScreening TrialPersonal health dataEarly cancer detectionMortality rateEarly screeningFalse positive ratePrevious risk models
2019
Predicting breast cancer risk using personal health data and machine learning models
Stark GF, Hart GR, Nartowt BJ, Deng J. Predicting breast cancer risk using personal health data and machine learning models. PLOS ONE 2019, 14: e0226765. PMID: 31881042, PMCID: PMC6934281, DOI: 10.1371/journal.pone.0226765.Peer-Reviewed Original ResearchConceptsBreast cancer riskBreast cancer risk predictionCancer riskCancer risk predictionGail modelBreast cancer risk prediction toolsCancer risk prediction toolsPositive breast cancer casesHormone replacement therapyRisk stratification toolRisk predictionRisk prediction toolsHealth dataBreast cancer casesPersonal health dataStratification toolReplacement therapyLeading causeBreast cancerCancer casesInvasive proceduresBCRATDeLong testLogistic regressionEarly breast cancer detectionScoring 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