Application of machine learningin predicting the outcomes and complications of radiotherapy / 中华放射医学与防护杂志
Chinese Journal of Radiological Medicine and Protection
;
(12): 792-795, 2018.
Artigo
em Chinês
| WPRIM
| ID: wpr-708135
ABSTRACT
Machine learning has developed rapidly in recent years.Using machine learning to predict the radiotherapy outcomes and complications can more accurately evaluate the patients' conditions and take appropriate treatment measures as soon as possible.The non-dose and dose related factors generated during radiotherapy are filtered and input into the algorithm model,then corresponding prediction result can be obtained.There are many algorithm models to predict survival rate,tumor control rate and radiotherapy complications,and the predicted result are more accurate now.However,the algorithm model also has various problems,and it needs constant exploration and improvement.
Texto completo:
DisponíveL
Índice:
WPRIM (Pacífico Ocidental)
Tipo de estudo:
Estudo prognóstico
Idioma:
Chinês
Revista:
Chinese Journal of Radiological Medicine and Protection
Ano de publicação:
2018
Tipo de documento:
Artigo
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