This paper is in the following e-collection/theme issue:

E-Health / Health Services Research and New Models of Care (457) GIS (Geographic Information Systems) Applications in Public Health and Spatial Epidemiology (93) Health Care Quality and Health Services Research (247)

Published on in Vol 21, No 10 (2019): October

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/14609, first published .
Hospital-Based Back Surgery: Geospatial-Temporal, Explanatory, and Predictive Models

Hospital-Based Back Surgery: Geospatial-Temporal, Explanatory, and Predictive Models

Hospital-Based Back Surgery: Geospatial-Temporal, Explanatory, and Predictive Models

Authors of this article:

Lawrence Fulton1 Author Orcid Image ;   Clemens Scott Kruse1 Author Orcid Image
Article Authors Cited by (5) Tweetations (2) Metrics

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  2. Kruse C, Beauvais B, Brooks M, Mileski M, Fulton L. Models for Heart Failure Admissions and Admission Rates, 2016 through 2018. Healthcare 2020;9(1):22 View
  3. Gao R, Zhou K, Yang C, Zhu K. An Underground Mine Risk Identification Model and Safety Management Method Based on Explanation Graph-Probabilistic Multi-Plan Analysis (EG-PMPA). IEEE Access 2020;8:223214 View
  4. Fusillo T. Predicting Health Disparities in Regions at Risk of Severe Illness to Inform Health Care Resource Allocation During Pandemics: Observational Study. JMIRx Med 2020;1(1):e22470 View
  5. Barker C, Reynolds M, Reardon M, Van Houten J, Murphy S, Mollenkopf S, Feldman T. Relation of Institutional Mitral Valve Surgical Volume to Surgical and Transcatheter Outcomes in Medicare Patients. The American Journal of Cardiology 2021;147:94 View