D. Mutahar
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Survival benefit of secondary prevention medical therapy in takotsubo cardiomyopathy: a Bayesian network meta-analysis Open
Aims Takotsubo cardiomyopathy (TTC) is a form of transient left ventricular systolic dysfunction without evidence of complicated coronary artery disease. Efficacy of medical therapy in secondary prevention of all-cause mortality is not wel…
View article: Machine-learning versus traditional methods for prediction of all-cause mortality after transcatheter aortic valve implantation: a systematic review and meta-analysis
Machine-learning versus traditional methods for prediction of all-cause mortality after transcatheter aortic valve implantation: a systematic review and meta-analysis Open
Background Accurate mortality prediction following transcatheter aortic valve implantation (TAVI) is essential for mitigating risk, shared decision-making and periprocedural planning. Surgical risk models have demonstrated modest discrimin…
View article: Machine learning approaches for risk prediction after percutaneous coronary intervention: a systematic review and meta-analysis
Machine learning approaches for risk prediction after percutaneous coronary intervention: a systematic review and meta-analysis Open
Aims Accurate prediction of clinical outcomes following percutaneous coronary intervention (PCI) is essential for mitigating risk and peri-procedural planning. Traditional risk models have demonstrated a modest predictive value. Machine le…
Prognostic impact of secondary prevention medical therapy in patients with Takotsubo cardiomyopathy: a Bayesian network meta-analysis Open
Background Takotsubo cardiomyopathy (TTC) is a form of transient left ventricular systolic dysfunction without evidence of complicated coronary artery disease. Although initially considered a benign condition, recent studies have demonstra…