Predictive model for assessing malnutrition in elderly hospitalized cancer patients: A machine learning approach

Author:

Duan Ran,Li QingYuan,Yuan Qing Xiu,Hu JiaXin,Feng Tong,Ren Tao

Funder

Sichuan Province Health Commission

Publisher

Elsevier BV

Reference27 articles.

1. Latest global cancer data:cancer burden rises to 19.3 million new cases and 10.0 million cancer deaths. in. 2020:2020. https://www.iarc.who.int/newseventslatest-global-cancer-data-cancer-burden-rises-to-19-3-million.new-cases-and-10-0-million-cancer-deathsin-2020.

2. Variation trends of malnutrition status among malignancy inpatients in China from 2014 to 2021;Zhou;Precision Nutrit,2023

3. Nutritional risk assessment by scored patient-generated subjective global assessment associated with demographic characteristics in 23,904 common malignant tumors patients;Song;Nutr Cancer,2019

4. Nutritional status assessed by scored patient-generated subjective global assessment associated with length of hospital stay in adult patients receiving an appendectomy;Huang;Biomed J,2014

5. The issue of nutrition in an aging society;Kido;J Nutr Sci Vitaminol (Tokyo),2015

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