Datamining approaches for modeling tumor control probability.

Datamining approaches for modeling tumor control probability.

Item
http://www.wikidata.org/entity/Q36672792
A data-mining framework for large scale analysis of dose-outcome relationships in a database of irradiated head and neck cancer patients.Standardized data collection to build prediction models in oncology: a prototype for rectal cancer.A Bayesian network approach for modeling local failure in lung cancer.Automatic assessment of average diaphragm motion trajectory from 4DCT images through machine learning.Radiogenomics and radiotherapy response modeling.Biological function integrated prediction of severe radiographic progression in rheumatoid arthritis: a nested case control study.The future of predictive models in radiation oncology: from extensive data mining to reliable modeling of the results.Motivation for the inclusion of genetic risk factors of radiosensitivity alongside dosimetric and clinical parameters in predicting normal tissue effects.Machine Learning in Radiation Oncology: Opportunities, Requirements, and Needs.
P2860

Datamining approaches for modeling tumor control probability.

Item
http://www.wikidata.org/entity/Q36672792
description
2010 nî lūn-bûn
@nan
2010年の論文
@ja
2010年論文
@yue
2010年論文
@zh-hant
2010年論文
@zh-hk
2010年論文
@zh-mo
2010年論文
@zh-tw
2010年论文
@wuu
2010年论文
@zh
2010年论文
@zh-cn
name
Datamining approaches for modeling tumor control probability.
@ast
Datamining approaches for modeling tumor control probability.
@en
type
label
Datamining approaches for modeling tumor control probability.
@ast
Datamining approaches for modeling tumor control probability.
@en
prefLabel
Datamining approaches for modeling tumor control probability.
@ast
Datamining approaches for modeling tumor control probability.
@en
P1433
P1476
P2093
P2860
P304
P31
P356
P433
P478
P50
P577
P5875
P698
P932
P356
P1433
P1476
Datamining approaches for modeling tumor control probability.
@en
P2093
P2860
P304
P31
P356
P433
P478
P50
P577
P5875
P698
P932