Deploying a risk-stratification model to guide clinical practice often requires the choice of a cutoff on the models output - called the decision threshold - to trigger a subsequent action such as an electronic alert. Choosing this cutoff is not always straightforward. Leveraging the collective information in treatment decisions made in real life, we propose an approach that learns reference decision thresholds from physician practice. Using the example of prescribing a statin for primary prevention of cardiovascular disease based on 10-year risk calculated by the 2013 Pooled Cohort Equations, we demonstrate the feasibility of using real world data to learn the implicit decision threshold that reflects existing physician behavior. Learning a decision threshold in this manner allows for evaluation of a proposed operating point against the threshold reflective of the standard of care. Furthermore, this approach can be used to monitor and audit model-guided clinical decision-making following model deployment.
- Downloaded 196 times
- Download rankings, all-time:
- Site-wide: 120,038
- In health informatics: 470
- Year to date:
- Site-wide: 27,293
- Since beginning of last month:
- Site-wide: 85,186
Downloads over time
Distribution of downloads per paper, site-wide
- 27 Nov 2020: The website and API now include results pulled from medRxiv as well as bioRxiv.
- 18 Dec 2019: We're pleased to announce PanLingua, a new tool that enables you to search for machine-translated bioRxiv preprints using more than 100 different languages.
- 21 May 2019: PLOS Biology has published a community page about Rxivist.org and its design.
- 10 May 2019: The paper analyzing the Rxivist dataset has been published at eLife.
- 1 Mar 2019: We now have summary statistics about bioRxiv downloads and submissions.
- 8 Feb 2019: Data from Altmetric is now available on the Rxivist details page for every preprint. Look for the "donut" under the download metrics.
- 30 Jan 2019: preLights has featured the Rxivist preprint and written about our findings.
- 22 Jan 2019: Nature just published an article about Rxivist and our data.
- 13 Jan 2019: The Rxivist preprint is live!