Analysis of prognostic prediction and nursing intervention value in PD patients based on nomogram model

The constructed nomogram can accurately predict the 1-, 3-, and 5-year technical survival rates of PD patients. Enhanced health education (≥1 session/month), optimized caregiving support systems, improved psychological conditions, and narrowed urban-rural disparities in healthcare resources are effective nursing interventions to improve the technical survival outcomes of PD patients.

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Publication Details

Journal
Frontiers in Medicine
Published
2025-12-15
DOI
https://doi.org/10.3389/fmed.2025.1645631
Primary Topic
Machine Learning in Healthcare
Type
article
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article

Analysis of prognostic prediction and nursing intervention value in PD patients based on nomogram model

Tao Fang, Xun Hu, Yugang Cao, Jun Guo et al.
Frontiers in Medicine
Machine Learning in Healthcare
article

Analysis of prognostic prediction and nursing intervention value in PD patients based on nomogram model

Tao Fang, Xun Hu, Yugang Cao, Jun Guo, Jin Yang
article en

Abstract

The constructed nomogram can accurately predict the 1-, 3-, and 5-year technical survival rates of PD patients. Enhanced health education (≥1 session/month), optimized caregiving support systems, improved psychological conditions, and narrowed urban-rural disparities in healthcare resources are effective nursing interventions to improve the technical survival outcomes of PD patients.

Frontiers in MedicineVol. 12
Hubei Polytechnic University (CN), Huangshi Central Hospital (CN)
Openalex Percentile: Top 79%
Machine Learning in Healthcare
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Analysis of prognostic prediction and nursing intervention value in PD patients based on nomogram model — Tao Fang, Xun Hu, et al. · Frontiers in Medicine (2025) | TGRS Research Map | TGRS