Published on in Vol 5, No 1 (2019): Jan-Mar

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/11357, first published .
Period of Measurement in Time-Series Predictions of Disease Counts from 2007 to 2017 in Northern Nevada: Analytics Experiment

Period of Measurement in Time-Series Predictions of Disease Counts from 2007 to 2017 in Northern Nevada: Analytics Experiment

Period of Measurement in Time-Series Predictions of Disease Counts from 2007 to 2017 in Northern Nevada: Analytics Experiment

Journals

  1. Mohammadzadeh S. D, Kazemi S, Mosavi A, Nasseralshariati E, Tah J. Prediction of Compression Index of Fine-Grained Soils Using a Gene Expression Programming Model. Infrastructures 2019;4(2):26 View
  2. Sohail M, Jiadong R, Muhammad M, Chauhdary S, Arshad J, Verghese A. An Accurate Clinical Implication Assessment for Diabetes Mellitus Prevalence Based on a Study from Nigeria. Processes 2019;7(5):289 View
  3. Feng Y, Wang J, Wang Y, Chu X. Towards Sustainable Compressive Population Health: A GAN-based Year-By-Year Imputation Method. ACM Transactions on Computing for Healthcare 2023;4(1):1 View
  4. Sigalo N, Awasthi N, Abrar S, Frias-Martinez V. Using COVID-19 Vaccine Attitudes on Twitter to Improve Vaccine Uptake Forecast Models in the United States: Infodemiology Study of Tweets. JMIR Infodemiology 2023;3:e43703 View

Books/Policy Documents

  1. Sharma P, Gupta T, Kulshrestha S, Gupta P, Choudhury A, Modi D, Sengupta A. Data-Driven Reproductive Health. View