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

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Bibliographic Details
Title: Preoperative anemia is an unsuspecting driver of machine learning prediction of adverse outcomes after lumbar spinal fusion.
Authors: Ghosh A; Department of Computational Biomedicine, Cedars-Sinai Medical Center, Los Angeles, CA, USA., Freda PJ; Department of Computational Biomedicine, Cedars-Sinai Medical Center, Los Angeles, CA, USA., Shahrestani S; Department of Neurosurgery, Cedars-Sinai Medical Center, Los Angeles, CA, USA., Boyke AE; Department of Neurosurgery, Cedars-Sinai Medical Center, Los Angeles, CA, USA., Orlenko A; Department of Computational Biomedicine, Cedars-Sinai Medical Center, Los Angeles, CA, USA., Choi H; Department of Computational Biomedicine, Cedars-Sinai Medical Center, Los Angeles, CA, USA., Matsumoto N; Department of Computational Biomedicine, Cedars-Sinai Medical Center, Los Angeles, CA, USA., Obafemi-Ajayi T; Engineering Program, Missouri State University, Springfield, MO, USA., Moore JH; Department of Computational Biomedicine, Cedars-Sinai Medical Center, Los Angeles, CA, USA., Walker CT; Department of Neurosurgery, Cedars-Sinai Medical Center, Los Angeles, CA, USA. Electronic address: corey.walker@cshs.org.
Source: The spine journal : official journal of the North American Spine Society [Spine J] 2025 Aug; Vol. 25 (8), pp. 1596-1607. Date of Electronic Publication: 2025 Jan 30.
Publication Type: Journal Article
Journal Info: Publisher: Elsevier Science Inc Country of Publication: United States NLM ID: 101130732 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1878-1632 (Electronic) Linking ISSN: 15299430 NLM ISO Abbreviation: Spine J Subsets: MEDLINE
Database: MEDLINE Ultimate
Description
ISSN:1878-1632
DOI:10.1016/j.spinee.2025.01.031