Risk prediction of diabetic nephropathy via interpretable feature extraction from EHR using convolutional autoencoder

Takayuki Katsuki, Masaki Ono, Akira Koseki, Michiharu Kudo, Kyoichi Haida, Jun Kuroda, Masaki Makino, Ryosuke Yanagiya, Atsushi Suzuki

Research output: Chapter in Book/Report/Conference proceedingConference contribution

15 Citations (Scopus)

Fingerprint

Dive into the research topics of 'Risk prediction of diabetic nephropathy via interpretable feature extraction from EHR using convolutional autoencoder'. Together they form a unique fingerprint.

Keyphrases

Computer Science