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JCO Clinical Cancer Informatics|March 3, 2022
Simple Linear Cancer Risk Prediction Models With Novel Features Outperform Complex ApproachesScott Kulm, Lior Kofman, Jason Mezey, et al.
JCO Clinical Cancer Informatics|September 21, 2021
Landscape Analysis of Breast Cancer and Acute Myeloid Leukemia Trials Using the My Cancer Genome Clinical Trial Data ModelNeha M Jain, Marilyn Holt, Christine Micheel, et al.
JCO Clinical Cancer Informatics|December 6, 2023
Cancer Informatics for Cancer Centers: Sharing Ideas on How to Build an Artificial Intelligence-Ready Informatics Ecosystem for Radiation OncologyDanielle S Bitterman, Michael F Gensheimer, David Jaffray, et al.
JCO Clinical Cancer Informatics|November 27, 2023
Evaluating the Utility and Privacy of Synthetic Breast Cancer Clinical Trial Data SetsSamer El Kababji, Nicholas Mitsakakis, Xi Fang, et al.
JCO Clinical Cancer Informatics|November 14, 2023
Using Machine Learning to Leverage Biomarker Change and Predict Colorectal Cancer RecurrencePatricia J Rodriguez, Patrick J Heagerty, Samantha Clark, et al.
JCO Clinical Cancer Informatics|August 4, 2023
Information Technology and Telemedicine Services in Community Oncology PracticesKah Poh Loh, Ying Wang, Sule Yilmaz, et al.
JCO Clinical Cancer Informatics|August 24, 2023
Prediction of Venous Thromboembolism in Patients With Cancer Using Machine Learning Approaches: A Systematic Review and Meta-AnalysisAnabel Franco-Moreno, Elena Madroñal-Cerezo, Nuria Muñoz-Rivas, et al.
JCO Clinical Cancer Informatics|October 9, 2023
Real-Time Identification of Pancreatic Cancer Cases Using Artificial Intelligence Developed on Danish Nationwide Registry DataAnders Bo Bojesen, Frank Viborg Mortensen, Jakob Kirkegård
JCO Clinical Cancer Informatics|October 5, 2023
Using an Adapted Tumor Board Evaluation Tool for Quality Assessment of a Thoracic Multidisciplinary Cancer Conference: A Pilot StudyBianca Marrara, Opuruiche Ibekwe, Martin Masika, et al.
JCO Clinical Cancer Informatics|September 27, 2023
Estimating the Lifetime Treatment Burden of Patients With Follicular Lymphoma: A Retrospective Study Using Real-World Multicenter DataAino Rajamäki, Mika Hujo, Reijo Sund, et al.
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