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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Detalles Bibliográficos
Autores principales: Das, Diptesh, Ito, Junichi, Kadowaki, Tadashi, Tsuda, Koji
Formato: Online Artículo Texto
Lenguaje:English
Publicado: PeerJ Inc. 2019
Materias:
Bioinformatics
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6398390/
https://www.ncbi.nlm.nih.gov/pubmed/30842909
http://dx.doi.org/10.7717/peerj.6543

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6398390/
https://www.ncbi.nlm.nih.gov/pubmed/30842909
http://dx.doi.org/10.7717/peerj.6543

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