A MACHINE LEARNING APPROACH TO EXPLORE PREDICTORS OF GRAFT DETACHMENT FOLLOWING POSTERIOR LAMELLAR KERATOPLASTY: A NATIONWIDE REGISTRY STUDY

A machine learning approach to explore predictors of graft detachment following posterior lamellar keratoplasty: a nationwide registry study

Abstract Machine learning can be used to explore the complex multifactorial patterns underlying postsurgical graft detachment after endothelial corneal transplantation surgery and to evaluate the marginal effect of various practice pattern modulations.We included all posterior lamellar keratoplasty procedures recorded in the Dutch Cornea Transplant

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Research Progress, Hotspots, and Evolution of Nighttime Light Pollution: Analysis Based on WOS Database and Remote Sensing Data

With the rapid development of the global economy, the over-expansion of outdoor artificial light at night (ALAN) in cities has led to increasingly severe light pollution worldwide.More and more studies have paid attention to the problem of light pollution, but there is still a lack of systematic literature review on nighttime light pollution in ter

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