Exploratory and prospective model of stent restenosis after Percutaneous Coronary Intervention using MultivariateGaussian Subspatial Regression
Víctor Vicente-Palacios, Santiago Vicente Tavera, Pedro Ignacio Dorado-Díaz, Antonio Sánchez-Puente, Jesús Sampedro-Gómez, Purificación Galindo‐Villardón, Itzíar Gómez, J. Alberto San Román, Francisco Fernández‐Avilés, Pedro Luis Sanchez
The paper introduces MGSR, a statistical model to predict stent restenosis risk using PCI patient data, enabling risk visualization and missing value recovery.
bioRxiv · Sep 11, 2019 · PreprintBioinformatics