# Predicting outcomes in radiation oncology—multifactorial decision support systems

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/predicting-outcomes-in-radiation-oncology-multifactorial-decision-support/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Philippe Lambin,Ruud G.P.M. van Stiphout,Maud H. W. Starmans,Emmanuel Rios-Velazquez,Georgi Nalbantov,Hugo J.W.L. Aerts,Erik Roelofs,Wouter van Elmpt,Paul C. Boutros,Pierluigi Granone,Vincenzo Valentini,Adrian C. Begg,Dirk De Ruysscher,André Dekker |
| Citations | 395 |
| DOI | 10.1038/nrclinonc.2012.196 |
| Fields | Computer Science,Medicine |
| Open Access | true |
| OA Status | bronze |
| OA URL | https://www.nature.com/articles/nrclinonc.2012.196.pdf |
| OpenAlex ID | https://openalex.org/W2128625986 |
| PMID | 23165123 |
| Type | article |
| Year | 2012 |

## Paper authors

- [André Dekker](https://scholariq.org/researchers/andre-dekker/)

## 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/)
- [AI in cancer detection](https://scholariq.org/topics/ai-in-cancer-detection/)
- [Topic Modeling](https://scholariq.org/topics/topic-modeling/)

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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.