Published on in Vol 6, No 5 (2022): May
Preprints (earlier versions) of this paper are
available at
https://preprints.jmir.org/preprint/30320, first published
.
![Segmenting Clinicians’ Usage Patterns of a Digital Health Tool in Resource-Limited Settings: Clickstream Data Analysis and Survey Study Segmenting Clinicians’ Usage Patterns of a Digital Health Tool in Resource-Limited Settings: Clickstream Data Analysis and Survey Study](https://asset.jmir.pub/assets/57801fcd65ace9424c3e9645a17ec493.png 480w,https://asset.jmir.pub/assets/57801fcd65ace9424c3e9645a17ec493.png 960w,https://asset.jmir.pub/assets/57801fcd65ace9424c3e9645a17ec493.png 1920w,https://asset.jmir.pub/assets/57801fcd65ace9424c3e9645a17ec493.png 2500w)
Journals
- Rosenberg J, Miller K, Pickard O, Henrich N, Karlage A, Weintraub R. Barriers and facilitators to use of a digital clinical decision support tool: a cohort study combining clickstream and survey data. BMJ Open 2022;12(11):e064952 View
- Wen Z, Lin W, Liu H. Machine-Learning-Based Approach for Anonymous Online Customer Purchase Intentions Using Clickstream Data. Systems 2023;11(5):255 View