Understanding the clustering patterns in physician distribution through Affinity Propagation

Xuan Shi, Bowei Xue, Imam Xierali

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

The spatial distribution of physicians has a significant impact in public health research. It is critical to clarify whether the addresses provided by the physicians are the home addresses or the practice addresses, since the practice address is the key to understand relevant issues of maldistribution, accessibility and disparity. Through a pilot study as partial effort of the research project 'Reducing Physician Distribution Uncertainty in Spatial Accessibility Research' sponsored by the National Institutes of Health (NIH award number 1R21CA182874-01), appropriate solutions were developed to differentiate the home addresses from practice addresses. This paper introduces how to understand the clustering patterns in physician distribution through Affinity Propagation, a relatively new clustering algorithm, to derive the potential extent of the practice locations for those physicians who provided home addresses. The physician data is derived from the 2014 American Medical Association (AMA) Physician Masterfile, while two counties (Fulton and DeKalb) in the metropolitan area of Atlanta, Georgia were selected as the study area. Both Euclidian distance and driving distance were applied in the AP algorithm, while gravity models based AP calculation were applied in comparison to the clustering of individual physicians. By justifying preference and similarity parameters in the AP calculation, hierarchical clustering patterns can be derived and perceived. Future research challenges in AP clustering are identified, while this pilot study can be extended with broader impact in public health research.

Original languageEnglish (US)
Title of host publicationProceedings - 23rd International Conference on Geoinformatics 2015, Geoinformatics 2015
EditorsShixiong Hu, Xinyue Ye
PublisherIEEE Computer Society
Volume2016-January
ISBN (Electronic)9781467376631
DOIs
StatePublished - Jan 11 2016
Externally publishedYes
Event23rd International Conference on Geoinformatics, Geoinformatics 2015 - Wuhan, China
Duration: Jun 19 2015Jun 21 2015

Conference

Conference23rd International Conference on Geoinformatics, Geoinformatics 2015
CountryChina
CityWuhan
Period6/19/156/21/15

Keywords

  • Affinity Propagation
  • physician distribution
  • spatial cluster analytics

ASJC Scopus subject areas

  • Software
  • Information Systems
  • Geography, Planning and Development
  • Computer Vision and Pattern Recognition
  • Computer Networks and Communications
  • Electrical and Electronic Engineering

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  • Cite this

    Shi, X., Xue, B., & Xierali, I. (2016). Understanding the clustering patterns in physician distribution through Affinity Propagation. In S. Hu, & X. Ye (Eds.), Proceedings - 23rd International Conference on Geoinformatics 2015, Geoinformatics 2015 (Vol. 2016-January). [7378608] IEEE Computer Society. https://doi.org/10.1109/GEOINFORMATICS.2015.7378608