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Development and Validation of a Machine Learning-Based Predictive Model for Postoperative Frailty in Patients with Non-Small Cell Lung Cancer and Its Relation to Early Recovery.

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Bibliographic Details
Title: Development and Validation of a Machine Learning-Based Predictive Model for Postoperative Frailty in Patients with Non-Small Cell Lung Cancer and Its Relation to Early Recovery.
Authors: Su XE; Department of Anaesthesia, The Second Affiliated Hospital of Fujian Medical University, Quanzhou, Fujian, China., Lin CL; Centre of Neurological and Metabolic Research, The Second Affiliated Hospital of Fujian Medical University, Quanzhou, China., Wang HG; Neusoft Research of Intelligent Healthcare Technology, Co. Ltd., Shenyang City, Liaoning Province, China., Jing-Liu; Neusoft Research of Intelligent Healthcare Technology, Co. Ltd., Shenyang City, Liaoning Province, China., Peng CB; Neusoft Research of Intelligent Healthcare Technology, Co. Ltd., Shenyang City, Liaoning Province, China., He HF; Department of Anaesthesia, The Second Affiliated Hospital of Fujian Medical University, Quanzhou, Fujian, China., Wu S; Department of Anaesthesia, The Second Affiliated Hospital of Fujian Medical University, Quanzhou, Fujian, China., Huang XF; Illawarra Health and Medical Research Institute and Molecular Horizons, School of Medicine, University of Wollongong, Wollongong, Australia., Lin S; Centre of Neurological and Metabolic Research, The Second Affiliated Hospital of Fujian Medical University, Quanzhou, China. shulin1956@126.com., Xie BY; Department of Nursing, The Second Affiliated Hospital of Fujian Medical University, Quanzhou, Fujian, China. 2223627072@qq.com.
Source: Annals of surgical oncology [Ann Surg Oncol] 2025 Aug; Vol. 32 (8), pp. 5936-5947. Date of Electronic Publication: 2025 May 14.
Publication Type: Journal Article; Validation Study
Journal Info: Publisher: Springer Country of Publication: United States NLM ID: 9420840 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1534-4681 (Electronic) Linking ISSN: 10689265 NLM ISO Abbreviation: Ann Surg Oncol Subsets: MEDLINE
Database: MEDLINE Ultimate
Description
ISSN:1534-4681
DOI:10.1245/s10434-025-17353-2