Preoperative anemia is an unsuspecting driver of machine learning prediction of adverse outcomes after lumbar spinal fusion

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@Article{Ghosh:2025:spinee,

• author = "Attri Ghosh and Philip J. Freda and Shane Shahrestani and Andre E. Boyke and Alena Orlenko and Hyunjun Choi and Nicholas Matsumoto and Tayo Obafemi-Ajayi and Jason H. Moore and Corey T. Walker",
• title = "Preoperative anemia is an unsuspecting driver of machine learning prediction of adverse outcomes after lumbar spinal fusion",
• journal = "The Spine Journal",
• year = "2025",
• keywords = "genetic algorithms, genetic programming, Adverse surgical outcomes, Anemia, Automated machine learning, Hemoglobin, Predictive modeling, Spinal fusion",
• ISSN = "1529-9430",
• URL = "https://www.sciencedirect.com/science/article/pii/S152994302500052X",
• DOI = "doi:10.1016/j.spinee.2025.01.031",
• abstract = "BACKGROUND CONTE",

}

Genetic Programming entries for Attri Ghosh Philip J Freda Shane Shahrestani Andre E Boyke Alena Orlenko Hyunjun Choi Nicholas Matsumoto Tayo Obafemi-Ajayi Jason H Moore Corey T Walker

Citations