TCTMD

TCT 456: Sex Bias in Clinical Prediction Models

TCT 1005: Point-of-Care Genotype-Guided Antiplatelet Strategy Using Spartan RX: Pharmacodynamic Comparison of Prasugrel and Ticagrelor in Korean PCI Patients with CYP2C19 LOF Alleles Receive the the ...
TCTMD

Featured Clinical Research: Prediction Models for the Treatment of Bioprosthetic Aortic Valve Failure in the United States

Receive the the latest news, research, and presentations from major meetings right to your inbox. TCTMD ® is produced by the Cardiovascular Research Foundation ® (CRF). CRF ® is committed to igniting ...
ascopubs.org

Training, Validating, and Testing Machine Learning Prediction Models for Endometrial Cancer Recurrence

NOTE. These are the baseline variables determined at treatment completion and included in the analysis. Abbreviations: CIN, cervical intraepithelial neoplasia; COPD, chronic obstructive pulmonary ...
The Lancet

When to and when not to use machine learning in risk prediction models

Machine learning for health data science, fuelled by proliferation of data and reduced computational costs, has garnered ...
AHA/ASA Journals

Criteria to Assess the Predictive and Clinical Utility of Novel Models, Biomarkers, and Tools for Risk of Cardiovascular Disease: A Scientific Statement From the American Heart ...

Risk prediction has been used in the primary prevention of cardiovascular disease for >3 decades. Contemporary cardiovascular risk assessment relies on multivariable models, which integrate ...
ascopubs.org

Optimizing Strategy for Lung Cancer Screening: From Risk Prediction to Clinical Decision Support

Low-dose computed tomography (LDCT) screening is effective in reducing lung cancer mortality by detecting the disease at earlier, more treatable stages. However, high false-positive rates and the ...