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

New Methods (955) Artificial Intelligence (1400) Machine Learning (1485) Health Care Quality and Health Services Research (274) Clinical Informatics (1042) Pediatrics (203) Perioperative Pediatric Care (26) Health Services Research (488) GIS (Geographic Information Systems) Applications in Public Health and Spatial Epidemiology (112)

Published on in Vol 23, No 9 (2021): September

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/26231, first published .
Understanding Pediatric Surgery Cancellation: Geospatial Analysis

Understanding Pediatric Surgery Cancellation: Geospatial Analysis

Understanding Pediatric Surgery Cancellation: Geospatial Analysis

Authors of this article:

Lei Liu1, 2 Author Orcid Image ;   Yizhao Ni1, 3 Author Orcid Image ;   Andrew F Beck3, 4, 5 Author Orcid Image ;   Cole Brokamp3, 6 Author Orcid Image ;   Ryan C Ramphul7 Author Orcid Image ;   Linda D Highfield8, 9 Author Orcid Image ;   Megha Karkera Kanjia10, 11 Author Orcid Image ;   J “Nick” Pratap3, 12 Author Orcid Image
Article Authors Cited by (8) Tweetations (10) Metrics

Journals

  1. Ben Mansour M, Lassioued O, Chakroun S, Slimene A, Ben Youssef S, Ksiaa A, Gahbiche M. Elective surgery cancellations in pediatric surgery: rate and reasons. BMC Pediatrics 2023;23(1) View
  2. Hashemi S, Yousefzadeh Z, Abin A, Ejmalian A, Nabavi S, Dabbagh A. Machine Learning-Guided Anesthesiology: A Review of Recent Advances and Clinical Applications. Journal of Cellular & Molecular Anesthesia 2024;9(1) View
  3. Willer B, Mpody C, Tobias J, Nafiu O, Jimenez N. Association of Neighborhood Opportunity, Race, and Ethnicity with Pediatric Day-of-surgery Cancellations: A Cohort Study. Anesthesiology 2024;141(4):657 View
  4. Zhao X, Zhao Q, Wu Y, Cheng S, Wang C, Meng L, Gu X, Chen Y. Cancellation of the more complicated ophthalmic inpatient surgeries in a tertiary general hospital: a 10-year retrospective study. Frontiers in Medicine 2024;11 View
  5. Tan J, Garcia-Marcinkiewicz A, Simpao A. The Child Opportunity Index: Another Dimension of Addressing Perioperative Disparities in Anesthesiology. Anesthesiology 2024;141(4):629 View
  6. Mollalo A, Hamidi B, Lenert L, Alekseyenko A. Application of Spatial Analysis on Electronic Health Records to Characterize Patient Phenotypes: Systematic Review. JMIR Medical Informatics 2024;12:e56343 View
  7. Nguyen H, Townsend N. Common causes of surgical cancellation in pediatric patients. Seminars in Pediatric Surgery 2024;33(5):151456 View
  8. Xiao J, Chen B, Chen L, Wang Q, Tan S, Yuan H, Xiang D, Zhang B, Li X, Huang S, Tan Y, Cheng Y, Xie W, Xu P. Interpretable time-series neural turing machine for prognostic prediction of patients with type 2 diabetes in physician-pharmacist collaborative clinics. International Journal of Medical Informatics 2025;195:105737 View