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Prediction of early postoperative complications and transfusion risk after lumbar spinal stenosis surgery in geriatric patients: machine learning approach based on comprehensive geriatric assessment.

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Title: Prediction of early postoperative complications and transfusion risk after lumbar spinal stenosis surgery in geriatric patients: machine learning approach based on comprehensive geriatric assessment.
Authors: Rhee, Wounsuk1,2,3 (AUTHOR) rhee1998@snu.ac.kr, Chang, Sam Yeol4,5 (AUTHOR) hewl3102@gmail.com, Chang, Bong-Soon4,5 (AUTHOR) bschang@snu.ac.kr, Kim, Hyoungmin3,4,5 (AUTHOR) hmkhm@snu.ac.kr
Source: BMC Medical Informatics & Decision Making. 7/28/2025, Vol. 25 Issue 1, p1-14. 14p.
Database: Academic Search Ultimate
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  Data: Prediction of early postoperative complications and transfusion risk after lumbar spinal stenosis surgery in geriatric patients: machine learning approach based on comprehensive geriatric assessment.
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  Data: <searchLink fieldCode="JN" term="%22BMC+Medical+Informatics+%26+Decision+Making%22">BMC Medical Informatics & Decision Making</searchLink>. 7/28/2025, Vol. 25 Issue 1, p1-14. 14p.
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=asn&AN=186953270
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        Value: 10.1186/s12911-025-03125-1
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        Text: English
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            NameFull: Chang, Sam Yeol
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              Text: 7/28/2025
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              Y: 2025
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