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

Surveillance Methods in Population and Public Health (144)

Published on in Vol 10, No 1 (2018):

JMIR Publications logo: Advancing Digital Health & Open Science

Forecasting Emergency Department Admissions for Pneumonia in Tropical Singapore

Forecasting Emergency Department Admissions for Pneumonia in Tropical Singapore

Authors of this article:

Cindy Lim1 ;   Mark Chen1 ;   Mark Chen1
The full text of this article is available as a PDF download by clicking here.
Article Authors Cited by (3) Tweetations Metrics

Journals

  1. Tricahya S, Rustam Z. Forecasting the Amount of Pneumonia Patients in Jakarta with Weighted High Order Fuzzy Time Series. IOP Conference Series: Materials Science and Engineering 2019;546(5):052080 View
  2. Sudarshan V, Brabrand M, Range T, Wiil U. Performance evaluation of Emergency Department patient arrivals forecasting models by including meteorological and calendar information: A comparative study. Computers in Biology and Medicine 2021;135:104541 View
  3. Sarbay İ, Coban B, Efgan M, Kanter E, Özel Z, Kaymaz E, Bıyıklı S, Çalık M, Tekindal M. Forecasting emergency department visit volume using meteorological variables: a multicenter time-series study. Air Quality, Atmosphere & Health 2026;19(9) View