Do machine learning-based clinical-echocardiographic prediction models provide prognostic value for early risk stratification in hospitalized patients with Takotsubo syndrome?
Machine learning models combining clinical and echocardiographic data can aid in the early risk stratification of hospitalized patients with Takotsubo syndrome.
ML-based clinical-echocardiographic prediction models showed prognostic value in early risk stratification in hospitalized TTS patients.
Dai et al. (Sun,) studied this question.