Construction and validation of a risk predictive model for fear of disease progression in patients after percutaneous coronary intervention
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A risk predictive model has been constructed and validated for fear of disease progression in patients after percutaneous coronary intervention. However, it is unclear if this model is specific to this condition, as similar models have been developed for various other medical conditions and even non-medical applications. The use of machine learning and other algorithms appears to be a common thread among these model developments.
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