Study of the Influence of Data Volume on the Quality of Regression to Restore the Distribution of Temperatures inside Tissue during Hyperthermia
Evgeny Kostyuchenko,
Elena Amletova
Abstract:The use of hyperthermia is one of the effective methods of treating cancer. In this case, the problem arises of constructing and predicting the distribution of the thermal field inside tissues depending on their type. This paper discusses the use of linear and polynomial regression methods, as well as regression algorithms based on decision tree, random forest and K nearest neighbors methods to recover missing temperature values. The influence of the size of the training sample when performing regression on th… Show more
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