Published on in Vol 10 (2024)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/47979, first published .
Predicting COVID-19 Vaccination Uptake Using a Small and Interpretable Set of Judgment and Demographic Variables: Cross-Sectional Cognitive Science Study

Predicting COVID-19 Vaccination Uptake Using a Small and Interpretable Set of Judgment and Demographic Variables: Cross-Sectional Cognitive Science Study

Predicting COVID-19 Vaccination Uptake Using a Small and Interpretable Set of Judgment and Demographic Variables: Cross-Sectional Cognitive Science Study

Journals

  1. Lalvani S, Bari S, Vike N, Stefanopoulos L, Kim B, Block M, Maglaveras N, Katsaggelos A, Breiter H. Predicting suicidality with small sets of interpretable reward behavior and survey variables. Nature Mental Health 2024;2(7):773 View
  2. Bari S, Kim B, Vike N, Lalvani S, Stefanopoulos L, Maglaveras N, Block M, Strawn J, Katsaggelos A, Breiter H. A novel approach to anxiety level prediction using small sets of judgment and survey variables. npj Mental Health Research 2024;3(1) View
  3. Stefanopoulos L, Kim B, Sheppard J, Azcona E, Vike N, Bari S, Lalvani S, Woodward S, Maglaveras N, Block M, Katsaggelos A, Breiter H. Discrete, recurrent, and scalable patterns in non-operant judgement underlie affective picture ratings. Cognitive Processing 2024 View