Survival prediction using artificial neural networks in patients with lung cancer treated by radiotherapy
| Autor: | Kenya Murase, Teruki Teshima, Yuki Iwanaga, Minoru Kawamata, Makoto Nagayoshi, Masahiro Iinuma |
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| Rok vydání: | 2002 |
| Předmět: |
Oncology
Statistics::Theory medicine.medical_specialty Artificial neural network business.industry Quantitative Biology::Tissues and Organs medicine.medical_treatment Computer Science::Neural and Evolutionary Computation Physics::Medical Physics equipment and supplies medicine.disease body regions Radiation therapy Internal medicine Radiation oncology Medicine In patient business Lung cancer |
| Zdroj: | CARS 2002 Computer Assisted Radiology and Surgery ISBN: 9783642628443 |
| DOI: | 10.1007/978-3-642-56168-9_169 |
| Popis: | It is generally known that artificial neural networks (ANNs) may be used for non-linear analysis of complex data. The purpose of this study was to construct the model of prediction using ANNs from radiation oncology database, and to evaluate the usefulness of ANNs for survival prediction in patients with lung cancer treated by radiation therapy. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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