"Hypertension Prediction Using Optimal Random Forest and Real Medical Data."

Lijuan Ren et al. (2022)

> Home

Details and statistics

DOI: 10.1109/SKIMA57145.2022.10029572

access: closed

type: Conference or Workshop Paper

metadata version: 2024-02-05

- view
  - electronic edition via DOI
  - unpaywalled version
  authority control:
- export record
  dblp key:
  - conf/skima/RenSWZB22
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/conf/skima/RenSWZB22
Lijuan Ren, Aicha Sekhari Seklouli, Tao Wang, Haiqing Zhang, Abdelaziz Bouras:
Hypertension Prediction Using Optimal Random Forest and Real Medical Data. SKIMA 2022: 67-72

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.