Improving case-based reasoning systems by combining k-nearest neighbour algorithm with logistic regression in the prediction of patients' registration on the renal transplant waiting list.
<h4>Introduction</h4>Case-based reasoning (CBR) is an emerging decision making paradigm in medical research where new cases are solved relying on previously solved similar cases. Usually, a database of solved cases is provided, and every case is described through a set of attributes (inp...
Guardado en:
Autores principales: | Boris Campillo-Gimenez, Wassim Jouini, Sahar Bayat, Marc Cuggia |
---|---|
Formato: | article |
Lenguaje: | EN |
Publicado: |
Public Library of Science (PLoS)
2013
|
Materias: | |
Acceso en línea: | https://doaj.org/article/c6d6be3900ea458ca4a7d09e7091ade6 |
Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
-
Size of wallet estimation: Application of K-nearest neighbour and quantile regression
por: Aashish Jhamtani, et al.
Publicado: (2021) -
Nearest feature line classifier based on collaborative representation with nearest neighbour search algorithm
por: Zhongjie Zhuang, et al.
Publicado: (2021) -
Love thy neighbour: automatic animal behavioural classification of acceleration data using the K-nearest neighbour algorithm.
por: Owen R Bidder, et al.
Publicado: (2014) -
Nearest-neighbour resonating valence bonds in YbMgGaO4
por: Yuesheng Li, et al.
Publicado: (2017) -
Nearest neighbour methods and their applications in design of 5G & beyond wireless networks
por: S.A.R. Zaidi
Publicado: (2021)