Using machine learning techniques to predict the risk of osteoporosis based on nationwide chronic disease data

Jun-Bo Tu, Wei-Jie Liao, Wen-Cai Liu, Xing-Hua Gao

Open source

DOI: 10.1038/s41598-024-56114-1
Published: 2024-03-04
Container: Scientific Reports
Publisher: Springer Science and Business Media LLC
Open access: unknown

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Cite this work

BibTeX

@article{allodium:10.1038/s41598-024-56114-1,
  title = {Using machine learning techniques to predict the risk of osteoporosis based on nationwide chronic disease data},
  author = {Jun-Bo Tu and Wei-Jie Liao and Wen-Cai Liu and Xing-Hua Gao},
  year = {2024},
  journal = {Scientific Reports},
  doi = {10.1038/s41598-024-56114-1},
  url = {https://doi.org/10.1038/s41598-024-56114-1}
}

RIS

TY  - JOUR
TI  - Using machine learning techniques to predict the risk of osteoporosis based on nationwide chronic disease data
AU  - Jun-Bo Tu
AU  - Wei-Jie Liao
AU  - Wen-Cai Liu
AU  - Xing-Hua Gao
PY  - 2024
JO  - Scientific Reports
DO  - 10.1038/s41598-024-56114-1
UR  - https://doi.org/10.1038/s41598-024-56114-1
ER  -

APA

Tu, J., Liao, W., Liu, W., & Gao, X. (2024). Using machine learning techniques to predict the risk of osteoporosis based on nationwide chronic disease data. Scientific Reports. https://doi.org/10.1038/s41598-024-56114-1

Source records

crossref · retrieved 2026-09-25T23:48:12.475Z