Claims-based algorithms for common chronic conditions were efficiently constructed using machine learning methods.
Identification of medical conditions using claims data is generally conducted with algorithms based on subject-matter knowledge. However, these claims-based algorithms (CBAs) are highly dependent on the knowledge level and not necessarily optimized for target conditions. We investigated whether mach...
Guardado en:
Autores principales: | Konan Hara, Yasuki Kobayashi, Jun Tomio, Yuki Ito, Thomas Svensson, Ryo Ikesu, Ung-Il Chung, Akiko Kishi Svensson |
---|---|
Formato: | article |
Lenguaje: | EN |
Publicado: |
Public Library of Science (PLoS)
2021
|
Materias: | |
Acceso en línea: | https://doaj.org/article/8b08fd73c1ee4e7aac16a7eba522ab9e |
Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
-
Development of algorithms for identifying patients with Crohn's disease in the Japanese health insurance claims database.
por: Hiromu Morikubo, et al.
Publicado: (2021) -
Building a Management System to Control the Construction Claims in Iraq
por: Inas Z. Hadi
Publicado: (2018) -
The role of reliable mining and construction analysis in adjudicating mining damage claims
por: Wojciech Kocot
Publicado: (2021) -
They Were Everywhere – They Got Everything Done: The Cultural Construction of the Heroines of the New Age (1945-1951)
por: Danijela Velimirović
Publicado: (2016) -
Claims on Ready-to-Eat Cereals: Are Those With Claims Healthier?
por: María Parra-Murillo, et al.
Publicado: (2021)