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

Visualization in eHealth (60) New Methods (963) Chronic Conditions (278) Military Medicine (35) Depression and Mood Disorders; Suicide Prevention (1392) Posttraumatic Stress Disorder (PTSD) (116) Substance Abuse (428) Back Pain (116)

Published on in Vol 8, No 6 (2020): June

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/16372, first published .
Summarizing Complex Graphical Models of Multiple Chronic Conditions Using the Second Eigenvalue of Graph Laplacian: Algorithm Development and Validation

Summarizing Complex Graphical Models of Multiple Chronic Conditions Using the Second Eigenvalue of Graph Laplacian: Algorithm Development and Validation

Summarizing Complex Graphical Models of Multiple Chronic Conditions Using the Second Eigenvalue of Graph Laplacian: Algorithm Development and Validation

Authors of this article:

Syed Hasib Akhter Faruqui1 Author Orcid Image ;   Adel Alaeddini1 Author Orcid Image ;   Mike C Chang1 Author Orcid Image ;   Sara Shirinkam2 Author Orcid Image ;   Carlos Jaramillo3 Author Orcid Image ;   Peyman NajafiRad4 Author Orcid Image ;   Jing Wang5 Author Orcid Image ;   Mary Jo Pugh6 Author Orcid Image
Article Authors Cited by (2) Tweetations (1) Metrics

Journals

  1. Stephan P, Wortmann F, Koch K. Understanding the Interactions Between Driving Behavior and Well-being in Daily Driving: Causal Analysis of a Field Study. Journal of Medical Internet Research 2022;24(8):e36314 View
  2. Faruqui S, Alaeddini A, Wang J, Jaramillo C, Pugh M. A Functional Model for Structure Learning and Parameter Estimation in Continuous Time Bayesian Network: An Application in Identifying Patterns of Multiple Chronic Conditions. IEEE Access 2021;9:148076 View