References
Arends, J., Bachmann, P., Baracos, V., Barthelemy, N., Bertz, H., Bozzetti, F., Fearon, K., Hütterer, E., Isenring, E., Kaasa, S., et al. (2017). ESPEN guidelines on nutrition in cancer patients. Clin Nutr 36, 11–48.
Cederholm, T., Jensen, G.L., Correia, M.I.T.D., Gonzalez, M.C., Fukushima, R., Higashiguchi, T., Baptista, G., Barazzoni, R., Blaauw, R., Coats, A., et al. (2019). GLIM criteria for the diagnosis of malnutrition—a consensus report from the global clinical nutrition community. Clin Nutr 38, 1–9.
Hébuterne, X., Lemarié, E., Michallet, M., de Montreuil, C.B., Schneider, S.M., and Goldwasser, F. (2014). Prevalence of malnutrition and current use of nutrition support in patients with cancer. JPEN J Parenter Enteral Nutr 38, 196–204.
Kondrup, J., Allison, S.P., Elia, M., Vellas, B., and Plauth, M. (2003). ESPEN guidelines for nutrition screening 2002. Clin Nutr 22, 415–421.
Xiong, W.G., Chen, T.T., Li, J., Xiang, L., Zhang, C., Xiang, L., Li, Y.B., Chu, D., Wu, Y.Z., Jie, Q., et al. (2022). Interpretable machine learning model to predict rupture of small intracranial aneurysms and facilitate clinical decision. Neurol Sci 43, 6371–6379.
Yin, L., Lin, X., Zhao, Z., Li, N., He, X., Zhang, M., Yang, J., Guo, Z., Li, Z., Wang, K., et al. (2021a). Is hand grip strength a necessary supportive index in the phenotypic criteria of the GLIM-based diagnosis of malnutrition in patients with cancer? Support Care Cancer 29, 4001–4013.
Yin, L., Song, C., Cui, J., Lin, X., Li, N., Fan, Y., Zhang, L., Liu, J., Chong, F., Wang, C., et al. (2021b). A fusion decision system to identify and grade malnutrition in cancer patients: machine learning reveals feasible workflow from representative real-world data. Clin Nutr 40, 4958–4970.
Acknowledgements
This work was supported in part by the National Key Research and Development Program (2017YFC1309200) and the National Natural Science Foundation of China (81673167). We also acknowledge the INSCOC project members for their substantial work on data collection and patient follow-up.
Author information
Authors and Affiliations
Corresponding authors
Additional information
Compliance and ethics
The author(s) declare that they have no conflict of interest.
Electronic supplementary material
11427_2022_2255_MOESM1_ESM.pdf
Ensemble learning system to identify nutritional risk and malnutrition in cancer patients without weight loss information
Rights and permissions
About this article
Cite this article
Yin, L., Liu, J., Liu, M. et al. Ensemble learning system to identify nutritional risk and malnutrition in cancer patients without weight loss information. Sci. China Life Sci. 66, 1200–1203 (2023). https://doi.org/10.1007/s11427-022-2255-4
Received:
Accepted:
Published:
Issue Date:
DOI: https://doi.org/10.1007/s11427-022-2255-4