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
2019
Pancreatic Cancer Prediction Through an Artificial Neural Network
Muhammad W, Hart GR, Nartowt B, Farrell JJ, Johung K, Liang Y, Deng J. Pancreatic Cancer Prediction Through an Artificial Neural Network. Frontiers In Artificial Intelligence 2019, 2: 2. PMID: 33733091, PMCID: PMC7861334, DOI: 10.3389/frai.2019.00002.Peer-Reviewed Original ResearchNational Health Interview SurveyPancreatic cancer riskPancreatic cancerCancer riskHigh-risk patientsCancer-specific symptomsHealth Interview SurveyReliable screening toolHigh riskTesting cohortAdvanced stagePatientsScreening toolEarly detectionInterview SurveyCancerCharacteristic curveHigh discriminatory powerHealth dataRiskOvarian cancer datasetDiscriminatory powerCancer predictionArtificial neural networkColorectal
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