Objective The Pediatric Emergency Care Applied Research Network (PECARN) has developed a clinical-decision instrument (CDI) to identify children at very low risk of intra-abdominal injury. However, the CDI has not been externally validated. We sought to vet the PECARN CDI with the Predictability Computability Stability (PCS) data science framework, potentially increasing its chance of a successful external validation.

中文翻译：

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可预测性和稳定性测试，以评估钝性躯干创伤后儿童的临床决策仪器性能

目的儿科急诊应用研究网络 (PECARN) 开发了一种临床决策工具 (CDI)，以识别腹内损伤风险极低的儿童。但是，CDI 尚未经过外部验证。我们试图通过可预测性、可计算性稳定性 (PCS) 数据科学框架来审查 PECARN CDI，这可能会增加其成功进行外部验证的机会。