Application of explainable ensemble artificial intelligence model to categorization of hemodialysis-patient and treatment using nationwide-real-world data in Japan.
Saved in:
| Title: | Application of explainable ensemble artificial intelligence model to categorization of hemodialysis-patient and treatment using nationwide-real-world data in Japan. |
|---|---|
| Authors: | Kanda, Eiichiro1 (AUTHOR) kms.cds.kanda@gmail.com, Epureanu, Bogdan I.2 (AUTHOR), Adachi, Taiji3 (AUTHOR), Tsuruta, Yuki4 (AUTHOR), Kikuchi, Kan5 (AUTHOR), Kashihara, Naoki6 (AUTHOR), Abe, Masanori7 (AUTHOR), Masakane, Ikuto8 (AUTHOR), Nitta, Kosaku9 (AUTHOR) |
| Source: | PLoS ONE. 5/29/2020, Vol. 15 Issue 5, p1-23. 23p. |
| Database: | Academic Search Ultimate |
|
Full text is not displayed to guests.
Login for full access.
|
|
| ISSN: | 19326203 |
|---|---|
| DOI: | 10.1371/journal.pone.0233491 |
