Development and validation of a machine learning model utilizing the ACS-NSQIP database for predicting early postoperative Re-operation in lumbar microdiscectomy.

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Title: Development and validation of a machine learning model utilizing the ACS-NSQIP database for predicting early postoperative Re-operation in lumbar microdiscectomy.
Authors: Dagli MM; Department of Neurosurgery, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA., Gujral J; Department of Neurosurgery, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA., Wathen CA; Department of Neurosurgery, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA., Ghenbot Y; Department of Neurosurgery, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA., Arena JD; Department of Neurosurgery, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA., Golubovsky JL; Department of Neurosurgery, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA., Ahmad HS; Department of Neurosurgery, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA., Massaad E; Department of Neurosurgery, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA., Shin J; Department of Neurosurgery, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA., Yoon JW; Department of Neurosurgery, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA., Ozturk AK; Department of Neurosurgery, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA., Welch WC; Department of Neurosurgery, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA.
Source: Brain & spine [Brain Spine] 2026 May 26; Vol. 6, pp. 106108. Date of Electronic Publication: 2026 May 26 (Print Publication: 2026).
Publication Type: Journal Article
Journal Info: Publisher: Elsevier B.V Country of Publication: Netherlands NLM ID: 9918470888906676 Publication Model: eCollection Cited Medium: Internet ISSN: 2772-5294 (Electronic) Linking ISSN: 27725294 NLM ISO Abbreviation: Brain Spine Subsets: PubMed not MEDLINE
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  Data: <searchLink fieldCode="JN" term="%229918470888906676%22">Brain & spine</searchLink> [Brain Spine] 2026 May 26; Vol. 6, pp. 106108. <i>Date of Electronic Publication: </i>2026 May 26 (<i>Print Publication: </i>2026).
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  Data: <i>Publisher: </i><searchLink fieldCode="PB" term="%22Elsevier+B%2EV%22">Elsevier B.V </searchLink><i>Country of Publication: </i>Netherlands <i>NLM ID: </i>9918470888906676 <i>Publication Model: </i>eCollection <i>Cited Medium: </i>Internet <i>ISSN: </i>2772-5294 (Electronic) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%2227725294%22">27725294 </searchLink><i>NLM ISO Abbreviation: </i>Brain Spine <i>Subsets: </i>PubMed not MEDLINE
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