# An interpretable machine learning prognostic system for risk stratification in oropharyngeal cancer

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/an-interpretable-machine-learning-prognostic-system-for-risk-stratification-in/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Rasheed Omobolaji Alabi,Alhadi Almangush,Mohammed Elmusrati,Ilmo Leivo,Antti Mäkitie |
| Citations | 59 |
| DOI | 10.1016/j.ijmedinf.2022.104896 |
| Fields | Medicine |
| Open Access | true |
| OA Status | hybrid |
| OA URL | https://www.sciencedirect.com/science/article/pii/S1386505622002106/pdf |
| OpenAlex ID | https://openalex.org/W4305082145 |
| PMID | 36279655 |
| Type | article |
| Year | 2022 |

## Paper authors

- [Rasheed Omobolaji Alabi](https://scholariq.org/researchers/rasheed-omobolaji-alabi/)

## Paper journal

- [International Journal of Medical Informatics](https://scholariq.org/journals/international-journal-of-medical-informatics/)

## Paper primary topic

- [Head and Neck Cancer Studies](https://scholariq.org/topics/head-and-neck-cancer-studies/)

## Paper topics

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

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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.