One platform for all researcher needs
AI-powered academic writing assistant
Your #1 AI companion for literature search
AI tool for graphics, illustrations, and artwork
Unlock unlimited use of all AI tools with the Editage Plus membership.
Explore Editage Plus
Audio Papers
Ask R Discovery
Translation
Auto-sync
Collaboration
Open Access
PDF Availablehttps://doi.org/10.1016/j.jvs.2020.04.078
Copy DOI
Export
Save
Share
Cite Journal: Journal of Vascular Surgery |  Publication Date: Jun 16, 2020 |
 License type: publisher-specific-oa |
Affiliation: Stanford University
Peripheral artery disease (PAD) often goes undiagnosed because of high rates of atypical or absent symptoms and poor provider and patient awareness about the disease. We aimed to develop a model to automate identification of PAD patients using machine learning algorithms and data from electronic health records (EHRs).
Free) Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
