2020
Using longitudinal PSA values and machine learning for predicting progression of early stage prostate cancer in veterans.
Danciu I, Erwin S, Agasthya G, Janet T, McMahon B, Tourassi G, Justice A. Using longitudinal PSA values and machine learning for predicting progression of early stage prostate cancer in veterans. Journal Of Clinical Oncology 2020, 38: e17554-e17554. DOI: 10.1200/jco.2020.38.15_suppl.e17554.Peer-Reviewed Original ResearchDisease progressionClinical data warehouseLast PSAPSA valuesEarly-stage prostate cancerSEER summary stageTime of diagnosisAppropriate treatment planProstate cancer patientsStage prostate cancerHealth record dataProstate cancer diagnosisEvidence-based approachClinical decision supportCancer RegistryRadium-223Cancer patientsGleason scoreSummary stageLaboratory valuesProstate cancerTreatment planOutcome predictionDiagnosisPSA
2014
The VACS Index Predicts Mortality in a Young, Healthy HIV Population Starting Highly Active Antiretroviral Therapy
Bebu I, Tate J, Rimland D, Mesner O, Macalino GE, Ganesan A, Okulicz JF, Bavaro M, Weintrob AC, Justice AC, Agan BK. The VACS Index Predicts Mortality in a Young, Healthy HIV Population Starting Highly Active Antiretroviral Therapy. JAIDS Journal Of Acquired Immune Deficiency Syndromes 2014, 65: 226-230. PMID: 24226058, PMCID: PMC4091811, DOI: 10.1097/qai.0000000000000045.Peer-Reviewed Original ResearchConceptsVACS IndexActive antiretroviral therapyCause mortalityAntiretroviral therapyHIV populationVeterans Aging Cohort Study (VACS) IndexActive antiretroviral therapy (HAART) initiationAntiretroviral therapy initiationPrediction of mortalityGood discriminationNHS subjectsTherapy initiationDifferent time pointsStudy cohortSimilar patientsClinical variablesEarly risk assessmentMedical historyVAC indexHealthy populationMortalityStudy indicesOutcome predictionTime pointsLaboratory data