JCO Clinical Cancer Informatics
Lippincott Williams and Wilkins · United States · Est. 1992
Aims & Scope✦ Inferred from recent articles
This journal focuses on the application of computational methods, including machine learning and artificial intelligence, to analyze and interpret cancer-related data. It covers the development and validation of predictive models for outcomes such as hospital readmission, disease recurrence, and treatment response, as well as the use of these technologies for data curation, risk stratification, and improving clinical trial efficiency. The journal also explores the integration of diverse data types, including genomic, clinical, and patient-reported outcomes, for a comprehensive understanding of cancer.
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