Continuous nursing symptom management in cancer chemotherapy patients using deep learning

To assess the efficacy of a deep learning platform for managing symptoms in chemotherapy patients, aiming to enhance their quality of life. A non-randomized controlled trial was conducted from September 2022 to March 2024, involving 144 chemotherapy patients divided into intervention (n = 72) and control (n = 72) groups. The intervention group received the deep learning platform, whereas the control group received standard care. Anxiety, depression, and quality of life were evaluated using the SAS, SDS, and QOL scores at baseline and after 6 months. Initial non-significant differences in SAS, SDS, and QOL scores between groups were observed. After intervention, significant improvements were noted in the intervention group for SAS, SDS, and various QOL aspects (P < 0.05). The platform received a high satisfaction score of 4.93 ± 0.13. The deep learning platform significantly reduced anxiety and depression and improved QOL in chemotherapy patients, demonstrating high patient satisfaction and potential for clinical application.Clinical trial registration: The trial was registered in clinical trials.gov with the registration number ChiCTR2400093540. The first registration date was 06/12/2024.

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Publication Details

Journal
Scientific Reports
Published
2025-03-07
DOI
https://doi.org/10.1038/s41598-025-92762-7
Citations
6
Primary Topic
Traditional Chinese Medicine Studies
Type
article
Field-Weighted Citation Impact
14.29

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article

Continuous nursing symptom management in cancer chemotherapy patients using deep learning

Xiangkang Lv, Qi Feng, Mei Wang, Jie Zhang et al.
6 citations
Scientific Reports
Traditional Chinese Medicine Studies
14.29
article

Continuous nursing symptom management in cancer chemotherapy patients using deep learning

Xiangkang Lv, Qi Feng, Mei Wang, Jie Zhang, Jun Zhang
article en
6 citations

Abstract

To assess the efficacy of a deep learning platform for managing symptoms in chemotherapy patients, aiming to enhance their quality of life. A non-randomized controlled trial was conducted from September 2022 to March 2024, involving 144 chemotherapy patients divided into intervention (n = 72) and control (n = 72) groups. The intervention group received the deep learning platform, whereas the control group received standard care. Anxiety, depression, and quality of life were evaluated using the SAS, SDS, and QOL scores at baseline and after 6 months. Initial non-significant differences in SAS, SDS, and QOL scores between groups were observed. After intervention, significant improvements were noted in the intervention group for SAS, SDS, and various QOL aspects (P < 0.05). The platform received a high satisfaction score of 4.93 ± 0.13. The deep learning platform significantly reduced anxiety and depression and improved QOL in chemotherapy patients, demonstrating high patient satisfaction and potential for clinical application.Clinical trial registration: The trial was registered in clinical trials.gov with the registration number ChiCTR2400093540. The first registration date was 06/12/2024.

Scientific ReportsVol. 15(1)
Shanghai Jiao Tong University (CN), Ruijin Hospital (CN)
National Natural Science Foundation of China
Openalex Percentile: Top 1%
Traditional Chinese Medicine Studies
14.29
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