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 detectionA Model of Risk of Colorectal Cancer Tested between Studies: Building Robust Machine Learning Models for Colorectal Cancer Risk Prediction
Nartowt B, Hart G, Muhammad W, Liang Y, Deng J. A Model of Risk of Colorectal Cancer Tested between Studies: Building Robust Machine Learning Models for Colorectal Cancer Risk Prediction. International Journal Of Radiation Oncology • Biology • Physics 2019, 105: e132. DOI: 10.1016/j.ijrobp.2019.06.2265.Peer-Reviewed Original ResearchColorectal cancer risk predictionCancer risk predictionColorectal cancerRisk predictionModel of riskCancer
2018
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 dataA multi-parameterized artificial neural network for lung cancer risk prediction
Hart GR, Roffman DA, Decker R, Deng J. A multi-parameterized artificial neural network for lung cancer risk prediction. PLOS ONE 2018, 13: e0205264. PMID: 30356283, PMCID: PMC6200229, DOI: 10.1371/journal.pone.0205264.Peer-Reviewed Original ResearchConceptsLung cancer risk predictionHistory of strokeNon-invasive clinical toolLung cancer riskHealth informationPersonal health informationNon-cancer casesCancer risk predictionRisk stratificationSmoking statusHeart diseaseExercise habitsHispanic ethnicityLung cancer detectionCancer riskClinical toolAdult dataRisk predictionModest sensitivityCancer detectionAUCHigh specificitySpecificityHypertensionAsthma