Disease trajectory browser for exploring temporal, population-wide disease progression patterns in 7.2 million Danish patients

The Danish health system has been collecting health-related data on the entire Danish population for years. Here the authors present the Danish Disease Trajectory Browser (DTB), which allows users to explore population-wide disease progression patterns from data collected between 1994 and 2018.

Bibliographic Details
Main Authors:	Troels Siggaard, Roc Reguant, Isabella F. Jørgensen, Amalie D. Haue, Mette Lademann, Alejandro Aguayo-Orozco, Jessica X. Hjaltelin, Anders Boeck Jensen, Karina Banasik, Søren Brunak
Format:	Article
Language:	English
Published:	Nature Publishing Group 2020-10-01
Series:	Nature Communications
Online Access:	https://doi.org/10.1038/s41467-020-18682-4

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spelling	doaj-96ba881d42094af2a13b48b13192c77c2021-10-03T11:52:15ZengNature Publishing GroupNature Communications2041-17232020-10-0111111010.1038/s41467-020-18682-4Disease trajectory browser for exploring temporal, population-wide disease progression patterns in 7.2 million Danish patientsTroels Siggaard0Roc Reguant1Isabella F. Jørgensen2Amalie D. Haue3Mette Lademann4Alejandro Aguayo-Orozco5Jessica X. Hjaltelin6Anders Boeck Jensen7Karina Banasik8Søren Brunak9Novo Nordisk Foundation Center for Protein Research, Faculty of Health and Medical Sciences, University of CopenhagenNovo Nordisk Foundation Center for Protein Research, Faculty of Health and Medical Sciences, University of CopenhagenNovo Nordisk Foundation Center for Protein Research, Faculty of Health and Medical Sciences, University of CopenhagenNovo Nordisk Foundation Center for Protein Research, Faculty of Health and Medical Sciences, University of CopenhagenNovo Nordisk Foundation Center for Protein Research, Faculty of Health and Medical Sciences, University of CopenhagenNovo Nordisk Foundation Center for Protein Research, Faculty of Health and Medical Sciences, University of CopenhagenNovo Nordisk Foundation Center for Protein Research, Faculty of Health and Medical Sciences, University of CopenhagenNovo Nordisk Foundation Center for Protein Research, Faculty of Health and Medical Sciences, University of CopenhagenNovo Nordisk Foundation Center for Protein Research, Faculty of Health and Medical Sciences, University of CopenhagenNovo Nordisk Foundation Center for Protein Research, Faculty of Health and Medical Sciences, University of CopenhagenThe Danish health system has been collecting health-related data on the entire Danish population for years. Here the authors present the Danish Disease Trajectory Browser (DTB), which allows users to explore population-wide disease progression patterns from data collected between 1994 and 2018.https://doi.org/10.1038/s41467-020-18682-4
collection	DOAJ
language	English
format	Article
sources	DOAJ
author	Troels Siggaard Roc Reguant Isabella F. Jørgensen Amalie D. Haue Mette Lademann Alejandro Aguayo-Orozco Jessica X. Hjaltelin Anders Boeck Jensen Karina Banasik Søren Brunak
spellingShingle	Troels Siggaard Roc Reguant Isabella F. Jørgensen Amalie D. Haue Mette Lademann Alejandro Aguayo-Orozco Jessica X. Hjaltelin Anders Boeck Jensen Karina Banasik Søren Brunak Disease trajectory browser for exploring temporal, population-wide disease progression patterns in 7.2 million Danish patients Nature Communications
author_facet	Troels Siggaard Roc Reguant Isabella F. Jørgensen Amalie D. Haue Mette Lademann Alejandro Aguayo-Orozco Jessica X. Hjaltelin Anders Boeck Jensen Karina Banasik Søren Brunak
author_sort	Troels Siggaard
title	Disease trajectory browser for exploring temporal, population-wide disease progression patterns in 7.2 million Danish patients
title_short	Disease trajectory browser for exploring temporal, population-wide disease progression patterns in 7.2 million Danish patients
title_full	Disease trajectory browser for exploring temporal, population-wide disease progression patterns in 7.2 million Danish patients
title_fullStr	Disease trajectory browser for exploring temporal, population-wide disease progression patterns in 7.2 million Danish patients
title_full_unstemmed	Disease trajectory browser for exploring temporal, population-wide disease progression patterns in 7.2 million Danish patients
title_sort	disease trajectory browser for exploring temporal, population-wide disease progression patterns in 7.2 million danish patients
publisher	Nature Publishing Group
series	Nature Communications
issn	2041-1723
publishDate	2020-10-01
description	The Danish health system has been collecting health-related data on the entire Danish population for years. Here the authors present the Danish Disease Trajectory Browser (DTB), which allows users to explore population-wide disease progression patterns from data collected between 1994 and 2018.
url	https://doi.org/10.1038/s41467-020-18682-4
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Disease trajectory browser for exploring temporal, population-wide disease progression patterns in 7.2 million Danish patients

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