"Big data- and artificial intelligence-based hot-spot analysis of COVID-19: ..."

Benjamin Lieberman et al. (2023)

> Home

Details and statistics

DOI: 10.1186/S12911-023-02098-3

access: open

type: Journal Article

metadata version: 2024-10-06

- view
  - electronic edition via DOI (open access)
  authority control:
- export record
  dblp key:
  - journals/midm/LiebermanKGABCDHKKMMORSWM23
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/journals/midm/LiebermanKGABCDHKKMMORSWM23
Benjamin Lieberman, Jude Dzevela Kong, Roy Gusinow, Ali Asgary, Nicola Luigi Bragazzi, Joshua Choma, Salah-Eddine Dahbi, Kentaro Hayashi, Deepak Kar, Mary Kawonga, Mduduzi Mbada, Kgomotso Monnakgotla, James Orbinski, Xifeng Ruan, Finn Stevenson, Jianhong Wu, Bruce Mellado:
Big data- and artificial intelligence-based hot-spot analysis of COVID-19: Gauteng, South Africa, as a case study. BMC Medical Informatics Decis. Mak. 23(1): 19 (2023)

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.