An interpretable machine learning model for diagnosis of Alzheimer's disease

An interpretable machine learning model for diagnosis of Alzheimer's disease

We present an interpretable machine learning model for medical diagnosis called sparse high-order interaction model with rejection option (SHIMR). A decision tree explains to a patient the diagnosis with a long rule (i.e., conjunction of many intervals), while SHIMR employs a weighted sum of short r...

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Bibliographic Details
Main Authors: Diptesh Das, Junichi Ito, Tadashi Kadowaki, Koji Tsuda
Format: Article
Language:English
Published: PeerJ Inc. 2019-03-01
Series:PeerJ
Subjects:
Dementia
Interpretable model
Sparse high-order interaction
Alzheimer’s disease (AD)
Computer-aided diagnosis (CAD) model
SHIMR
Online Access:https://peerj.com/articles/6543.pdf

Internet

https://peerj.com/articles/6543.pdf

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