Published on in Vol 10 (2024)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/48060, first published .
Discovering Subgroups of Children With High Mortality in Urban Guinea-Bissau: Exploratory and Validation Cohort Study

Discovering Subgroups of Children With High Mortality in Urban Guinea-Bissau: Exploratory and Validation Cohort Study

Discovering Subgroups of Children With High Mortality in Urban Guinea-Bissau: Exploratory and Validation Cohort Study

Andreas Rieckmann   1 , PhD ;   Sebastian Nielsen   2, 3 , PhD ;   Piotr Dworzynski   4 , PhD ;   Heresh Amini   5, 6 , PhD ;   Søren Wengel Mogensen   7 , PhD ;   Isaquel Bartolomeu Silva   2, 3 , MSc ;   Angela Y Chang   8, 9 , ScD ;   Onyebuchi A Arah   10, 11, 12 , MD, PhD ;   Wojciech Samek   13, 14, 15 , Dr rer nat ;   Naja Hulvej Rod   1 , PhD, DMSc ;   Claus Thorn Ekstrøm   16 , PhD ;   Christine Stabell Benn   2, 3, 8 , MD, PhD, DMSc ;   Peter Aaby   2, 3 , DMSc ;   Ane Bærent Fisker   2, 3 , MD, PhD

1 Section of Epidemiology, Department of Public Health, University of Copenhagen, Copenhagen, Denmark

2 Bandim Health Project, INDEPTH Network, Bissau, Guinea-Bissau

3 Bandim Health Project, Research unit Odense Patient Data Explorative Network (OPEN), Department of Clinical Research, Odense University Hospital and University of Southern Denmark, Odense, Denmark

4 Novo Nordisk Foundation Center for Basic Metabolic Research, University of Copenhagen, Copenhagen, Denmark

5 Department of Environmental Medicine and Climate Science, Icahn School of Medicine at Mount Sinai, New York, NY, United States

6 Institute for Climate Change, Environmental Health, and Exposomics, Icahn School of Medicine at Mount Sinai, New York, NY, United States

7 Department of Automatic Control, Lund University, Lund, Sweden

8 Danish Institute for Advanced Study, University of Southern Denmark, Odense, Denmark

9 The Interdisciplinary Centre on Population Dynamics, University of Southern Denmark, Odense, Denmark

10 Department of Epidemiology, Fielding School of Public Health, University of California, Los Angeles, Los Angeles, CA, United States

11 Department of Statistics and Data Science, College of Letters and Science, University of California, Los Angeles, Los Angeles, CA, United States

12 Research Unit for Epidemiology, Department of Public Health, University of Aarhus, Aarhus, Denmark

13 Department of Artificial Intelligence, Fraunhofer Heinrich Hertz Institute, Berlin, Germany

14 Department of Electrical Engineering and Computer Science, Technical University of Berlin, Berlin, Germany

15 Berlin Institute for the Foundations of Learning and Data, Berlin, Germany

16 Section of Biostatistics, Department of Public Health, University of Copenhagen, Copenhagen, Denmark

Corresponding Author:

  • Andreas Rieckmann, PhD
  • Section of Epidemiology
  • Department of Public Health
  • University of Copenhagen
  • Øster Farimagsgade 5
  • Copenhagen, 1353
  • Denmark
  • Phone: 45 35326765
  • Email: aric@sund.ku.dk