Machine learning model for prediction of palliative care phases in patients with advanced cancer: a retrospective study

The prediction model developed in this study based on the machine learning algorithm showed good performance, offering significant potential for facilitating timely interventions, enhancing symptom management, and optimizing palliative care resource allocation in advanced cancer patients in mainland China.

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Publication Details

Journal
BMC Palliative Care
Published
2025-05-24
DOI
https://doi.org/10.1186/s12904-025-01785-4
Citations
1
Primary Topic
Palliative Care and End-of-Life Issues
Type
article
Field-Weighted Citation Impact
1.88
Controls
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article

Machine learning model for prediction of palliative care phases in patients with advanced cancer: a retrospective study

Sishan Jiang, Yunyun Dai, Xianghua Xu, Junqingzhao Liu et al.
1 citations
BMC Palliative Care
Palliative Care and End-of-Life Issues
1.88
article

Machine learning model for prediction of palliative care phases in patients with advanced cancer: a retrospective study

Sishan Jiang, Yunyun Dai, Xianghua Xu, Junqingzhao Liu, Yongyi Chen, Junchen Guo
article en
1 citations

Abstract

The prediction model developed in this study based on the machine learning algorithm showed good performance, offering significant potential for facilitating timely interventions, enhancing symptom management, and optimizing palliative care resource allocation in advanced cancer patients in mainland China.

BMC Palliative CareVol. 24(1)
Guilin Medical University (CN), University of Wollongong (AU), Hunan Cancer Hospital (CN)
Openalex Percentile: Top 15%
Palliative Care and End-of-Life Issues
1.88
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