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JCO Clinical Cancer Informatics|March 10, 2022
Using Adversarial Images to Assess the Robustness of Deep Learning Models Trained on Diagnostic Images in OncologyMarina Z Joel, Sachin Umrao, Enoch Chang, et al.
JCO Clinical Cancer Informatics|April 2, 2021
Computing the Hazard Ratios Associated With Explanatory Variables Using Machine Learning Models of Survival DataSameer Sundrani, James Lu
JCO Clinical Cancer Informatics|April 13, 2023
The Impact of a National Cyberattack Affecting Clinical Trials: The Cancer Trials Ireland ExperienceHarry Harvey, Hailey Carroll, Verena Murphy, et al.
JCO Clinical Cancer Informatics|March 31, 2023
Machine Learning Models Using Routinely Collected Clinical Data Offer Robust and Interpretable Predictions of 90-Day Unplanned Acute Care Use for Cancer Immunotherapy PatientsSheng-Chieh Lu, Mark Knafl, Anastasia Turin, et al.
JCO Clinical Cancer Informatics|March 31, 2023
Developing a Data and Analytics Platform to Enable a Breast Cancer Learning Health System at a Regional Cancer CenterJeremy Petch, Joel Kempainnen, Christopher Pettengell, et al.
JCO Clinical Cancer Informatics|April 21, 2023
Novel Approaches for Dynamic Visualization of Adverse Event Data in Oncology Clinical Trials: A Case Study Using Immunotherapy Trial S1400-I (SWOG)Shing M Lee, Weijia Fan, Aijin Wang, et al.
JCO Clinical Cancer Informatics|May 2, 2023
Novel Generative Recurrent Neural Network Framework to Produce Accurate, Applicable, and Deidentified Synthetic Medical Data for Patients With Metastatic CancerReetam Ganguli, Rishik Lad, Alice Lin, et al.
JCO Clinical Cancer Informatics|April 25, 2023
Benefits and Barriers of Technology for Home Function and Mobility Assessment: Perspectives of Older Patients With Blood Cancers, Caregivers, and CliniciansDillon D Clancy, Anna C Revette, Nupur E Bahl, et al.
JCO Clinical Cancer Informatics|May 26, 2023
Validation of RUBY for Breast Cancer Knowledge Extraction From a Large French Electronic Medical Record SystemRenaud Schiappa, Sara Contu, Dorian Culie, et al.
JCO Clinical Cancer Informatics|August 18, 2020
Three-Dimensional Printed Molds for Image-Guided Surgical Biopsies: An Open Source Computational PlatformMireia Crispin-Ortuzar, Marcel Gehrung, Stephan Ursprung, et al.
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