Characterizing Physician Referral Networks with Ricci Curvature

التفاصيل البيبلوغرافية
العنوان: Characterizing Physician Referral Networks with Ricci Curvature
المؤلفون: Wayland, Jeremy, Funk, Russel J., Rieck, Bastian
سنة النشر: 2024
المجموعة: Computer Science
مصطلحات موضوعية: Computer Science - Social and Information Networks, Computer Science - Machine Learning
الوصف: Identifying (a) systemic barriers to quality healthcare access and (b) key indicators of care efficacy in the United States remains a significant challenge. To improve our understanding of regional disparities in care delivery, we introduce a novel application of curvature, a geometrical-topological property of networks, to Physician Referral Networks. Our initial findings reveal that Forman-Ricci and Ollivier-Ricci curvature measures, which are known for their expressive power in characterizing network structure, offer promising indicators for detecting variations in healthcare efficacy while capturing a range of significant regional demographic features. We also present APPARENT, an open-source tool that leverages Ricci curvature and other network features to examine correlations between regional Physician Referral Networks structure, local census data, healthcare effectiveness, and patient outcomes.
نوع الوثيقة: Working Paper
URL الوصول: http://arxiv.org/abs/2408.16022
رقم الانضمام: edsarx.2408.16022
قاعدة البيانات: arXiv