Stop the war!

Остановите войну!

for scientists:

default search action

combined dblp search
author search
venue search
publication search

ask others

"CKD.Net: A novel deep learning hybrid model for effective, real-time, ..."

Shamima Akter et al. (2023)

> Home

Details and statistics

DOI: 10.1016/J.ESWA.2023.119851

access: closed

type: Journal Article

metadata version: 2023-10-17

- view
  - electronic edition via DOI
  - unpaywalled version
  authority control:
- export record
  dblp key:
  - journals/eswa/AkterAIHHRHM23
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/journals/eswa/AkterAIHHRHM23
Shamima Akter, Manik Ahmed, Abdullah Al Imran, Ahsan Habib, Rakib Ul Haque, Md. Sohanur Rahman, Md. Rakibul Hasan, Samira Mahjabeen:
CKD.Net: A novel deep learning hybrid model for effective, real-time, automated screening tool towards prediction of multi stages of CKD along with eGFR and creatinine. Expert Syst. Appl. 223: 119851 (2023)

a service of

manage site settings

To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.