"Assessing clinical utility of machine learning and artificial intelligence ..."

Emil Svoboda et al. (2022)

> Home

Details and statistics

DOI: 10.1016/J.COMPBIOMED.2022.105853

access: closed

type: Journal Article

metadata version: 2024-10-06

- view
  - electronic edition via DOI
  - unpaywalled version
  authority control:
- export record
  dblp key:
  - journals/cbm/SvobodaBRTHGBHV22
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/journals/cbm/SvobodaBRTHGBHV22
Emil Svoboda, Tomás Boril, Jan Rusz, Tereza Tykalová, Dana Horáková, Charles R. G. Guttmann, Krastan B. Blagoev, Hiroto Hatabu, Vlad I. Valtchinov:
Assessing clinical utility of machine learning and artificial intelligence approaches to analyze speech recordings in multiple sclerosis: A pilot study. Comput. Biol. Medicine 148: 105853 (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.