# Machine learning explainability in nasopharyngeal cancer survival using LIME and SHAP

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/machine-learning-explainability-in-nasopharyngeal-cancer-survival-using-lime-and/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Rasheed Omobolaji Alabi,Mohammed Elmusrati,Ilmo Leivo,Alhadi Almangush,Antti Mäkitie |
| Citations | 154 |
| DOI | 10.1038/s41598-023-35795-0 |
| Fields | Medicine |
| Open Access | true |
| OA Status | gold |
| OA URL | https://www.nature.com/articles/s41598-023-35795-0.pdf |
| OpenAlex ID | https://openalex.org/W4379197104 |
| PMID | 37268685 |
| Type | article |
| Year | 2023 |

## Paper authors

- [Rasheed Omobolaji Alabi](https://scholariq.org/researchers/rasheed-omobolaji-alabi/)
- [Alhadi Almangush](https://scholariq.org/researchers/alhadi-almangush/)
- [Mohammed Elmusrati](https://scholariq.org/researchers/mohammed-elmusrati/)

## Paper journal

- [Scientific Reports](https://scholariq.org/journals/scientific-reports/)

## Paper primary topic

- [Radiomics and Machine Learning in Medical Imaging](https://scholariq.org/topics/radiomics-and-machine-learning-in-medical-imaging/)

## Paper topics

- [Radiomics and Machine Learning in Medical Imaging](https://scholariq.org/topics/radiomics-and-machine-learning-in-medical-imaging/)
- [Head and Neck Cancer Studies](https://scholariq.org/topics/head-and-neck-cancer-studies/)
- [Lung Cancer Diagnosis and Treatment](https://scholariq.org/topics/lung-cancer-diagnosis-and-treatment/)

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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.