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Plos One|October 26, 2018
A multi-parameterized artificial neural network for lung cancer risk predictionGregory R Hart, David A Roffman, Roy Decker, et al.Frontiers in Artificial Intelligence|February 6, 2023
Statistical biopsy: An emerging screening approach for early detection of cancersGregory R Hart, Vanessa Yan, Bradley J Nartowt, et al.JCO Clinical Cancer Informatics|January 18, 2019
Development and Validation of a Multiparameterized Artificial Neural Network for Prostate Cancer Risk Prediction and StratificationDavid A Roffman, Gregory R Hart, Michael S Leapman, et al.Plos One|August 23, 2019
Scoring colorectal cancer risk with an artificial neural network based on self-reportable personal health dataBradley J Nartowt, Gregory R Hart, David A Roffman, et al.Scientific Reports|July 9, 2025
Predicting time-to-first cancer diagnosis across multiple cancer typesKien Lau, Gregory R Hart, Jun DengScientific Reports|February 2, 2023
Long-term survival and second malignant tumor prediction in pediatric, adolescent, and young adult cancer survivors using Random Survival Forests: a SEER analysisIvy Y Zhang, Gregory R Hart, Bo Qin, et al.Plos One|December 28, 2019
Predicting breast cancer risk using personal health data and machine learning modelsGigi F Stark, Gregory R Hart, Bradley J Nartowt, et al.Acta Crystallographica. Section A, Foundations and Advances|January 8, 2020
Monte Carlo simulation of coherently scattered photons based on the inverse-sampling techniqueWazir Muhammad, Ying Liang, Gregory R Hart, et al.Frontiers in Big Data|March 11, 2021
Stratifying Ovarian Cancer Risk Using Personal Health DataGregory R Hart, Bradley J Nartowt, Wazir Muhammad, et al.Frontiers in Big Data|March 11, 2021
Robust Machine Learning for Colorectal Cancer Risk Prediction and StratificationBradley J Nartowt, Gregory R Hart, Wazir Muhammad, et al.Pageof 143