A novel method for dipper/non-dipper pattern classification in hypertensive and non-diabetic patients

BACKGROUND: In the classical process, it was proven that ABPM data were the most significant attributes both by physician and ranking algorithms for dipper/non-dipper pattern classification as mentioned in our previous papers. To explore if any algorithm exists that would let the physician skip this...

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Detalles Bibliográficos
Autores principales: Altikardes, Zehra Aysun, Kayikli, Abdulkadir, Korkmaz, Hayriye, Erdal, Hasan, Baba, Ahmet Fevzi, Fak, Ali Serdar
Formato: Online Artículo Texto
Lenguaje:English
Publicado: IOS Press 2019
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6597996/
https://www.ncbi.nlm.nih.gov/pubmed/31045526
http://dx.doi.org/10.3233/THC-199006

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6597996/
https://www.ncbi.nlm.nih.gov/pubmed/31045526
http://dx.doi.org/10.3233/THC-199006

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