Constructing a Predictive Model for Psychological Distress of Young‐ and Middle‐Aged Gynaecological Cancer Patients

Compared with the LR model, the ANN model shows obvious superiority across all assessment index outcomes, and it may be used as a decision-support tool for early identification of young- and middle-aged gynaecological cancer patients suffering from psychological distress.

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Publication Details

Journal
Journal of Evaluation in Clinical Practice
Published
2024-11-20
DOI
https://doi.org/10.1111/jep.14244
Citations
1
Primary Topic
Cancer survivorship and care
Type
article
Field-Weighted Citation Impact
0.28

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article

Constructing a Predictive Model for Psychological Distress of Young‐ and Middle‐Aged Gynaecological Cancer Patients

Xinran Zhu, Linan Wang, Xueying Zhou, Yinan Zhang et al.
1 citations
Journal of Evaluation in Clinical Practice
Cancer survivorship and care
0.28
article

Constructing a Predictive Model for Psychological Distress of Young‐ and Middle‐Aged Gynaecological Cancer Patients

Xinran Zhu, Linan Wang, Xueying Zhou, Yinan Zhang, Shumei Zhuang, Yitong Qu, Shimei Jin
article en
1 citations

Abstract

Compared with the LR model, the ANN model shows obvious superiority across all assessment index outcomes, and it may be used as a decision-support tool for early identification of young- and middle-aged gynaecological cancer patients suffering from psychological distress.

Journal of Evaluation in Clinical PracticeVol. 31(1)
Tianjin Medical University (CN)
Tianjin Medical University
No poverty
Openalex Percentile: Top 34%
Cancer survivorship and care
0.28
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