"Non-negative matrix factorization temporal topic models and clinical text ..."

Christopher Meaney et al. (2022)

> Home

Details and statistics

DOI: 10.1016/J.JBI.2022.104034

access: closed

type: Journal Article

metadata version: 2023-11-12

- view
  - electronic edition via DOI
  - unpaywalled version
  authority control:
- export record
  dblp key:
  - journals/jbi/MeaneyEMSKACOG22
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/journals/jbi/MeaneyEMSKACOG22
Christopher Meaney, Michael D. Escobar, Rahim Moineddin, Therese A. Stukel, Sumeet Kalia, Babak Aliarzadeh, Tao Chen, Braden O'Neill, Michelle Greiver:
Non-negative matrix factorization temporal topic models and clinical text data identify COVID-19 pandemic effects on primary healthcare and community health in Toronto, Canada. J. Biomed. Informatics 128: 104034 (2022)

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.