Published on in Vol 10, No 12 (2022): December
This is a member publication of University of Oxford (Jisc)
Preprints (earlier versions) of this paper are
available at
https://www.medrxiv.org/content/10.1101/2022.03.22.22272504v1, first published
.
![Identifying Patterns of Clinical Interest in Clinicians’ Treatment Preferences: Hypothesis-free Data Science Approach to Prioritizing Prescribing Outliers for Clinical Review Identifying Patterns of Clinical Interest in Clinicians’ Treatment Preferences: Hypothesis-free Data Science Approach to Prioritizing Prescribing Outliers for Clinical Review](https://asset.jmir.pub/assets/fc55cfb905a9a5b35384ad7a3d0a65ec.png 480w,https://asset.jmir.pub/assets/fc55cfb905a9a5b35384ad7a3d0a65ec.png 960w,https://asset.jmir.pub/assets/fc55cfb905a9a5b35384ad7a3d0a65ec.png 1920w,https://asset.jmir.pub/assets/fc55cfb905a9a5b35384ad7a3d0a65ec.png 2500w)
Journals
- Hopcroft L, Massey J, Curtis H, Mackenna B, Croker R, Brown A, O'Dwyer T, Macdonald O, Evans D, Inglesby P, Bacon S, Goldacre B, Walker A. Data-Driven Identification of Unusual Prescribing Behavior: Analysis and Use of an Interactive Data Tool Using 6 Months of Primary Care Data From 6500 Practices in England. JMIR Medical Informatics 2023;11:e44237 View