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

Journal: Geriatric nursing (New York, N.Y.)

PMID: 38880079

Abstract

BACKGROUND: Malnutrition is prevalent among elderly cancer patients. This study aims to develop a predictive model for malnutrition in hospitalized elderly cancer patients.

Authors

Ran Duan

Clinical Medical College, Chengdu Medical College, Chengdu, Sichuan, China
Qingyuan Li

Forestry and Fruit Tree Research Institute, Wuhan Academy of Agricultural Sciences, Wuhan, China.
Qing Xiu Yuan

School of Nursing, Chengdu Medical College, Chengdu, 610500, China.
Jiaxin Hu

School of Music and Dance, Qiqihar University, Qiqihar, China.
Tong Feng

Department of Biomedical Engineering, Tianjin University, 92 Weijin Rd., Tianjin, 300072, China.
Tao Ren

Keywords

Activities of Daily Living Aged Aged, 80 and over Body Mass Index Female Geriatric Assessment Hospitalization Humans Machine Learning Male Malnutrition Neoplasms Nutrition Assessment Prevalence

External Resources

View on PubMed Access via DOI PubMed (38880079)

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

Abstract

Authors

Keywords

External Resources

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