Investigation of the support vector machine algorithm to predict lung radiation-induced pneumonitis
about
LDA-SVM-based EGFR mutation model for NSCLC brain metastases: an observational study.Quantitative Analyses of Normal Tissue Effects in the Clinic (QUANTEC): an introduction to the scientific issues.Combining multiple models to generate consensus: application to radiation-induced pneumonitis predictionApplication of Hybrid Functional Groups to Predict ATP Binding Proteins.Statistical-learning strategies generate only modestly performing predictive models for urinary symptoms following external beam radiotherapy of the prostate: A comparison of conventional and machine-learning methods.A quantitative symmetry-based analysis of hyperacute ischemic stroke lesions in noncontrast computed tomography.Using machine learning to predict radiation pneumonitis in patients with stage I non-small cell lung cancer treated with stereotactic body radiation therapy.Comparison of Bayesian network and support vector machine models for two-year survival prediction in lung cancer patients treated with radiotherapy.Adaptive learning for relevance feedback: application to digital mammography.A genetic algorithm for variable selection in logistic regression analysis of radiotherapy treatment outcomes.Modeling plan-related clinical complications using machine learning tools in a multiplan IMRT framework.Biological function integrated prediction of severe radiographic progression in rheumatoid arthritis: a nested case control study.A planning quality evaluation tool for prostate adaptive IMRT based on machine learning.Derivation and validation of different machine-learning models in mortality prediction of trauma in motorcycle riders: a cross-sectional retrospective study in southern Taiwan.Automated beam placement for breast radiotherapy using a support vector machine based algorithm.Strategies for prediction and mitigation of radiation-induced liver toxicity.Texture classification-based segmentation of lung affected by interstitial pneumonia in high-resolution CT.Design and Selection of Machine Learning Methods Using Radiomics and Dosiomics for Normal Tissue Complication Probability Modeling of Xerostomia.Quantitative comparison of automatic and manual IMRT optimization for prostate cancer: the benefits of DVH prediction.
P2860
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P2860
Investigation of the support vector machine algorithm to predict lung radiation-induced pneumonitis
description
2007 nî lūn-bûn
@nan
2007 թուականի Հոկտեմբերին հրատարակուած գիտական յօդուած
@hyw
2007 թվականի հոտեմբերին հրատարակված գիտական հոդված
@hy
2007年の論文
@ja
2007年論文
@yue
2007年論文
@zh-hant
2007年論文
@zh-hk
2007年論文
@zh-mo
2007年論文
@zh-tw
2007年论文
@wuu
name
Investigation of the support v ...... radiation-induced pneumonitis
@ast
Investigation of the support v ...... radiation-induced pneumonitis
@en
Investigation of the support v ...... radiation-induced pneumonitis
@nl
type
label
Investigation of the support v ...... radiation-induced pneumonitis
@ast
Investigation of the support v ...... radiation-induced pneumonitis
@en
Investigation of the support v ...... radiation-induced pneumonitis
@nl
prefLabel
Investigation of the support v ...... radiation-induced pneumonitis
@ast
Investigation of the support v ...... radiation-induced pneumonitis
@en
Investigation of the support v ...... radiation-induced pneumonitis
@nl
P2093
P2860
P356
P1433
P1476
Investigation of the support v ...... radiation-induced pneumonitis
@en
P2093
Fang-Fang Yin
Lawrence B Marks
Shifeng Chen
Shiva K Das
Sumin Zhou
P2860
P304
P356
10.1118/1.2776669
P407
P577
2007-10-01T00:00:00Z