Combining multiple models to generate consensus: application to radiation-induced pneumonitis prediction

Combining multiple models to generate consensus: application to radiation-induced pneumonitis prediction

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http://www.wikidata.org/entity/Q37170258
Heart irradiation as a risk factor for radiation pneumonitis.Decision tree for adjuvant right ventricular support in patients receiving a left ventricular assist device.LDA-SVM-based EGFR mutation model for NSCLC brain metastases: an observational study.Personalized treatment planning with a model of radiation therapy outcomes for use in multiobjective optimization of IMRT plans for prostate cancerStatistical-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.Early cardiac perfusion defects after left-sided radiation therapy for breast cancer: is there a volume response?Comparison of Bayesian network and support vector machine models for two-year survival prediction in lung cancer patients treated with radiotherapy.Bayesian network ensemble as a multivariate strategy to predict radiation pneumonitis risk.Biological function integrated prediction of severe radiographic progression in rheumatoid arthritis: a nested case control study.Radiation Mitigating Properties of Intranasally Administered KL4 Surfactant in a Murine Model of Radiation-Induced Lung Damage.Strategies for prediction and mitigation of radiation-induced liver toxicity.
P2860

Combining multiple models to generate consensus: application to radiation-induced pneumonitis prediction

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http://www.wikidata.org/entity/Q37170258
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2008 nî lūn-bûn
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2008年学术文章
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Combining multiple models to g ...... induced pneumonitis prediction
@en
Combining multiple models to g ...... nduced pneumonitis prediction.
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type
label
Combining multiple models to g ...... induced pneumonitis prediction
@en
Combining multiple models to g ...... nduced pneumonitis prediction.
@nl
prefLabel
Combining multiple models to g ...... induced pneumonitis prediction
@en
Combining multiple models to g ...... nduced pneumonitis prediction.
@nl
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Combining multiple models to g ...... induced pneumonitis prediction
@en
P2093
P2860
P304
P31
P356
P407
P433
P478
P50
P577
P5875
P698
P932