Identification of key predictors of postmenopausal osteoporosis from routine clinical indicators using explainable machine learning

• Yang Guo ,

  Contributed equally to this work with: Yang Guo, Shuai Jiang

  Roles Formal analysis, Investigation, Methodology, Writing – original draft

  Affiliation Department of Nursing, School of Medicine, Shaanxi Institute of International Trade & Commerce, Xianyang, Shaanxi, China

  https://orcid.org/0009-0003-8192-938X

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• Shuai Jiang ,

  Contributed equally to this work with: Yang Guo, Shuai Jiang

  Roles Formal analysis, Investigation, Methodology

  Affiliation Medical Morphology Experiment Centre, School of Basic Medicine, Hunan University of Medicine, Huaihua, Hunan, China

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• Wei Zhu,

  Roles Investigation, Methodology

  Affiliation Department of Orthopaedics, Affiliated Hospital of Xizang Mizu University, Xianyang, Shaanxi, China

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• Longwang Tan,

  Roles Investigation, Methodology

  Affiliation Division of Spinal Surgery, Department of Nursing, Affiliated Hospital of Shaanxi University of Chinese Medicine, Xianyang, Shaanxi, China

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• Chuang Liu,

  Roles Formal analysis, Methodology

  Affiliation Division of Spinal Surgery, Department of Nursing, Affiliated Hospital of Shaanxi University of Chinese Medicine, Xianyang, Shaanxi, China

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• Yongjun Jia,

  Roles Data curation, Software

  Affiliation Division of Spinal Surgery, Department of Nursing, Affiliated Hospital of Shaanxi University of Chinese Medicine, Xianyang, Shaanxi, China

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• Chi Zhang,

  Roles Formal analysis, Software

  Affiliation Rehabilitation Department (Area 8), Xi’an Daxing Hospital, Xi’an, Shaanxi, China

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• Kok-Yong Chin

  Roles Methodology, Supervision, Writing – review & editing

  * E-mail: chinky@ukm.edu.my

  Affiliation Department of Pharmacology, Faculty of Medicine, University Kebangsaan Malaysia, Cheras, Malaysia

  https://orcid.org/0000-0001-6628-1552

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