Published on in Vol 21, No 7 (2019): July

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/13809, first published .
Identification of Patients in Need of Advanced Care for Depression Using Data Extracted From a Statewide Health Information Exchange: A Machine Learning Approach

Identification of Patients in Need of Advanced Care for Depression Using Data Extracted From a Statewide Health Information Exchange: A Machine Learning Approach

Identification of Patients in Need of Advanced Care for Depression Using Data Extracted From a Statewide Health Information Exchange: A Machine Learning Approach

Journals

  1. Bickman L. Improving Mental Health Services: A 50-Year Journey from Randomized Experiments to Artificial Intelligence and Precision Mental Health. Administration and Policy in Mental Health and Mental Health Services Research 2020;47(5):795 View
  2. Dervaux A. L’intelligence artificielle suffira-t-elle à sortir la psychiatrie de la crise. French Journal of Psychiatry 2019;1:S71 View
  3. Decker B, Hill C, Baldassano S, Khankhanian P. Can antiepileptic efficacy and epilepsy variables be studied from electronic health records? A review of current approaches. Seizure 2021;85:138 View
  4. Rodríguez-Ruiz J, Galván-Tejada C, Vázquez-Reyes S, Galván-Tejada J, Gamboa-Rosales H. Classification of Depressive Episodes Using Nighttime Data; a Multivariate and Univariate Analysis. Programming and Computer Software 2020;46(8):689 View