Skip to main content Skip to main navigation menu Skip to site footer
arc-ai-clinical
  • Home
  • About
    • About the Journal
    • Aims and Scope
    • Open Access Policy
    • Copyright and Licensing
    • Privacy Statement
    • Archiving and Preservation Policy
    • Plagiarism Policy
  • Editorial Team
  • For Authors
    • Submission Guidelines
    • Publication Ethics & Malpractice Statement
    • Article Processing Charges
    • Peer Review Process
  • Current
  • Archives
  • Submissions
  • Contact
Search
  • Register
  • Login
  1. Home /
  2. Archives /
  3. Vol. 1 No. 1 (2026)

Vol. 1 No. 1 (2026)

Published: 2026-03-10

Articles

  • Real-World Analysis of Clinical Decision Support and Patient Outcomes Using Electronic Health Records in a Hospital Setting

    Claudia Gore
    09-17
    • PDF
  • Using Real-World Hospital Data To Develop And Evaluate Readmission Risk Prediction Models For Clinical Practice

    Christine E. Gummerson MD
    18-26
    • PDF
  • Operationalizing Machine Learning in Hospital Diabetes Care: A Multi-Center Study of Readmission Prediction and Clinical Utility

    Mohammad Rashid, Parvinder Nagar, Mohit Agrawal
    27-35
    • PDF
  • Risk Prediction of Early Readmission in Patients with Diabetes Using Machine Learning Algorithms: A Retrospective Clinical Study

    Changjiang Zhang, Yumin Wu
    36-44
    • PDF

Make a Submission

Make a Submission

CustomSidebar

Quick Links

  • About Journal
  • Submission Guidelines
  • Peer Review Process
  • Aims & Scope
  • Publication Ethics

Current Issue

  • Atom logo
  • RSS2 logo
  • RSS1 logo

oa

Information

  • For Readers
  • For Authors
  • For Librarians

License Creative Commons Creative Commons «Attribution» 4.0 WorldWide.


ARC: Journal of AI in Clinical Practice

A peer-reviewed open-access journal committed to ethical publishing practices.

Contact us

  • EMAIL: contact@arcpublishing.org
  •  

Publisher

ARC Publishing Services LLC.

Open Access • Peer Reviewed • CC BY 4.0

 

More information about the publishing system, Platform and Workflow by OJS/PKP.