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

Reviews in Medical Informatics (85) Clinical Informatics (949) Information Retrieval (272) Electronic Health Records (990) Digital Biomarkers and Digital Phenotyping (182)

Published on in Vol 8, No 11 (2020): November

Temporal Design Patterns for Digital Phenotype Cohort Selection in Critical Care: Systematic Literature Assessment and Qualitative Synthesis

Temporal Design Patterns for Digital Phenotype Cohort Selection in Critical Care: Systematic Literature Assessment and Qualitative Synthesis

Temporal Design Patterns for Digital Phenotype Cohort Selection in Critical Care: Systematic Literature Assessment and Qualitative Synthesis

Authors of this article:

Daniel Capurro1, 2 Author Orcid Image ;   Mario Barbe3, 4 Author Orcid Image ;   Claudio Daza2 Author Orcid Image ;   Josefa Santa Maria2 Author Orcid Image ;   Javier Trincado2 Author Orcid Image
Article Authors Cited by (1) Tweetations (7) Metrics

Daniel Capurro   1, 2 , MD, PhD ;   Mario Barbe   3, 4 , MD, MSc ;   Claudio Daza   2 , BSc, MPH ;   Josefa Santa Maria   2 , MD ;   Javier Trincado   2 , MD

1 School of Computing and Information Systems, Centre for Digital Transformation of Health, University of Melbourne, Melbourne, Australia

2 Department of Internal Medicine, School of Medicine, Pontificia Universidad Catolica de Chile, Santiago, Chile

3 Department of Biomedical Informatics, Clinica Alemana, Santiago, Chile

4 Instituto de Ciencias e Innovación en Medicina, Facultad de Medicina Clínica Alemana, Universidad del Desarrollo, Santiago, Chile

Corresponding Author:

  • Daniel Capurro, MD, PhD
  • School of Computing and Information Systems
  • Centre for Digital Transformation of Health
  • University of Melbourne
  • Room 3.24, Level 3, Doug McDonnel (Building 168)
  • Parkville Campus
  • Melbourne, 3010
  • Australia
  • Phone: 61 8344 4504
  • Email: dcapurro@unimelb.edu.au