Exploring the application of machine learning to identify the correlations between phthalate esters and disease: enhancing nursing assessments
This study's findings can serve as a valuable reference for clinical nursing assessments regarding diseases related to osteoporosis, arthritis, and musculoskeletal pain. Medical professionals can enhance care quality by considering factors beyond patients' essential physical assessment items.Trial Registration: This study was registered under NCT05892029 on May 5, 2023, retrospectively.
Authors
- Pei‐Hung Liao (ORCID: https://orcid.org/0000-0003-3047-2394)
- Chiung-Fang Peng
- Chien-Chang Liao
- Tso-Ying Lee
- Haoting Wu
Institutions
- National Taipei University of Nursing and Health Science (TW)
- Taipei Medical University Hospital (TW)
- Cheng Hsin General Hospital (TW)
- Tainan Municipal Hospital (TW)
Publication Details
- Journal
- Health Information Science and Systems
- Published
- 2024-12-29
- DOI
- https://doi.org/10.1007/s13755-024-00324-4
- Citations
- 5
- Primary Topic
- Effects and risks of endocrine disrupting chemicals
- Type
- article
- Field-Weighted Citation Impact
- 1.57
Funders
- Cheng Hsin General Hospital Foundation