The multinomial mixed-effect regression model for predicting PCOC phases in hospice patients
Critical PCOC items distinguishing between PCOC phases were identified, enabling the development of an accurate prediction model. This model enhances hospice care quality by facilitating timely interventions and adjustments based on patients' PCOC phases.
Authors
- Yi-Chia Liu
- I-Ting Liu (ORCID: https://orcid.org/0000-0002-6454-8855)
- Wei‐Shu Lai (ORCID: https://orcid.org/0000-0002-8308-9228)
- Jui‐Hung Tsai
- Pei‐Fang Su (ORCID: https://orcid.org/0000-0002-1149-8022)
- Ying-Tzu Huang
- Yu‐Yeh Chen
- Ge‐Lin Chiu
- Peng-Chan Lin
Institutions
- National Cheng Kung University Hospital (TW)
- National Cheng Kung University (TW)
Publication Details
- Journal
- Supportive Care in Cancer
- Published
- 2024-09-01
- DOI
- https://doi.org/10.1007/s00520-024-08832-5
- Citations
- 1
- Primary Topic
- Machine Learning in Healthcare
- Type
- article
- Field-Weighted Citation Impact
- 0.35
Funders
- National Cheng Kung University Hospital
- National Cheng Kung University