主催: 人工知能学会
会議名: 第106回 知識ベースシステム研究会
回次: 106
開催地: 慶応義塾大学 日吉キャンパス 來往舎
開催日: 2015/11/12
p. 07-
We tried to apply a Deep Learning to diagnose the lung cancer from a gas chromatography mass spectrometry data of human urine. The mother data consists of 28 healthy people and 39 lung cancer patient urine data sets. Each data set has 394 pieces of peak value as a feature. We applied unsupervised and supervised learning to four-layer neural network (NN). We got 97.0% accuracy of the diagnosis. We also used the trained NN for search the target substance.