The use of risk prediction models grows as electronic medical records become widely available. Here, we develop and validate a model to identify individuals at increased risk for colorectal cancer (CRC) by analyzing blood counts, age, and sex, then determine the model's value when used to supplement conventional screening.Primary care data were collected from a cohort of 606 403 Israelis (of whom 3135 were diagnosed with CRC) and a case control UK dataset of 5061 CRC cases and 25 613 controls. The model was developed on 80

作者：Yaron, Kinar；Nir, Kalkstein；Pinchas, Akiva；Bernard, Levin；Elizabeth E, Half；Inbal, Goldshtein；Gabriel, Chodick；Varda, Shalev

来源：Journal of the American Medical Informatics Association : JAMIA 2016 年 23卷 5期