# Machine learning models to predict outcomes at 30‐days using Global Leadership Initiative on Malnutrition combinations with and without muscle mass in people with cancer

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/machine-learning-models-to-predict-outcomes-at-30-days-using-global-leadership/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Nicole Kiss,Belinda Steer,M.A.E. de van der Schueren,Jenelle Loeliger,Roohallah Alizadehsani,Lara Edbrooke,Irene Deftereos,Erin Laing,Abbas Khosravi |
| Citations | 16 |
| DOI | 10.1002/jcsm.13259 |
| Fields | Medicine,Nursing |
| Open Access | true |
| OA Status | gold |
| OA URL | https://onlinelibrary.wiley.com/doi/pdfdirect/10.1002/jcsm.13259 |
| OpenAlex ID | https://openalex.org/W4378952563 |
| PMID | 37259678 |
| Type | article |
| Year | 2023 |

## Paper authors

- [Erin Laing](https://scholariq.org/researchers/erin-laing/)

## Paper primary topic

- [Nutrition and Health in Aging](https://scholariq.org/topics/nutrition-and-health-in-aging/)

## Paper topics

- [Nutrition and Health in Aging](https://scholariq.org/topics/nutrition-and-health-in-aging/)
- [Frailty in Older Adults](https://scholariq.org/topics/frailty-in-older-adults/)
- [Clinical Nutrition and Gastroenterology](https://scholariq.org/topics/clinical-nutrition-and-gastroenterology/)

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Source: ScholarIQ — public research metadata, principally OpenAlex. See https://scholariq.org/sources/ for provenance and https://scholariq.org/methodology/ for what these figures mean.