TY - GEN
T1 - Risk prediction of diabetic nephropathy via interpretable feature extraction from EHR using convolutional autoencoder
AU - Katsuki, Takayuki
AU - Ono, Masaki
AU - Koseki, Akira
AU - Kudo, Michiharu
AU - Haida, Kyoichi
AU - Kuroda, Jun
AU - Makino, Masaki
AU - Yanagiya, Ryosuke
AU - Suzuki, Atsushi
N1 - Funding Information:
T. Katsuki was supported in part by JST CREST Grant Number JPMJCR1304, Japan.
PY - 2018
Y1 - 2018
N2 - This paper describes a technology for predicting the aggravation of diabetic nephropathy from electronic health record (EHR). For the prediction, we used features extracted from event sequence of lab tests in EHR with a stacked convolutional autoencoder which can extract both local and global temporal information. The extracted features can be interpreted as similarities to a small number of typical sequences of lab tests, that may help us to understand the disease courses and to provide detailed health guidance. In our experiments on real-world EHRs, we confirmed that our approach performed better than baseline methods and that the extracted features were promising for understanding the disease.
AB - This paper describes a technology for predicting the aggravation of diabetic nephropathy from electronic health record (EHR). For the prediction, we used features extracted from event sequence of lab tests in EHR with a stacked convolutional autoencoder which can extract both local and global temporal information. The extracted features can be interpreted as similarities to a small number of typical sequences of lab tests, that may help us to understand the disease courses and to provide detailed health guidance. In our experiments on real-world EHRs, we confirmed that our approach performed better than baseline methods and that the extracted features were promising for understanding the disease.
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U2 - 10.3233/978-1-61499-852-5-106
DO - 10.3233/978-1-61499-852-5-106
M3 - Conference contribution
C2 - 29677932
AN - SCOPUS:85046554535
T3 - Studies in Health Technology and Informatics
SP - 106
EP - 110
BT - Building Continents of Knowledge in Oceans of Data
A2 - Klein, Gunnar O.
A2 - Karlsson, Daniel
A2 - Moen, Anne
A2 - Ugon, Adrien
PB - IOS Press
T2 - 40th Medical Informatics in Europe Conference, MIE 2018
Y2 - 24 April 2018 through 26 April 2018
ER -