Challenges and Opportunities in Clinical Prediction Models
Clinical prediction models can predict individual outcomes or risks based on effect evidence obtained from the population,serving as a powerful tool linking evidence-based medicine and precision medicine.With the continuous advancement of data measurement,storage,interoperability,and analytical techniques,the application prospect for clinical prediction models is becoming increasingly clear.However,it also faces many problems and challenges.This paper aims to provide an overview of the fundamental concepts,application scenarios,current dilemmas,and development opportunities of clinical prediction models.
国家科技期刊平台
NSTL
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