# Predicting Lung Cancer Survival Using Probabilistic Reclassification of TNM Editions With a Bayesian Network

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/predicting-lung-cancer-survival-using-probabilistic-reclassification-of-tnm/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Melle Sieswerda,Iñigo Bermejo,Gijs Geleijnse,Mieke J. Aarts,V.E.P.P. Lemmens,Dirk De Ruysscher,André Dekker,Xander Verbeek |
| Citations | 8 |
| DOI | 10.1200/cci.19.00136 |
| Fields | Computer Science,Medicine |
| Open Access | true |
| OA Status | green |
| OA URL | https://cris.maastrichtuniversity.nl/en/publications/b94679ee-d9dc-4559-aed0-8d6829777776 |
| OpenAlex ID | https://openalex.org/W3020872260 |
| PMID | 32392098 |
| Type | article |
| Year | 2020 |

## Paper authors

- [Melle Sieswerda](https://scholariq.org/researchers/melle-sieswerda/)

## Paper primary topic

- [Lung Cancer Diagnosis and Treatment](https://scholariq.org/topics/lung-cancer-diagnosis-and-treatment/)

## Paper topics

- [Lung Cancer Diagnosis and Treatment](https://scholariq.org/topics/lung-cancer-diagnosis-and-treatment/)
- [Radiomics and Machine Learning in Medical Imaging](https://scholariq.org/topics/radiomics-and-machine-learning-in-medical-imaging/)
- [AI in cancer detection](https://scholariq.org/topics/ai-in-cancer-detection/)

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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.