# Prediction of survival in surgical unresectable lung cancer by artificial neural networks including genetic polymorphisms and clinical parameters

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/prediction-of-survival-in-surgical-unresectable-lung-cancer-by-artificial-neural/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Te‐Chun Hsia,Hung‐Chih Chiang,David M. Chiang,Liang‐Wen Hang,Fuu‐Jen Tsai,Wen‐Chi Chen |
| Citations | 23 |
| DOI | 10.1002/jcla.10102 |
| Fields | Medicine |
| Open Access | true |
| OA Status | bronze |
| OA URL | https://onlinelibrary.wiley.com/doi/pdfdirect/10.1002/jcla.10102 |
| OpenAlex ID | https://openalex.org/W2171909187 |
| PMID | 14614746 |
| Type | article |
| Year | 2003 |

## Paper authors

- [Liang‐Wen Hang](https://scholariq.org/researchers/liang-wen-hang/)

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

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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.