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.

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Autores principales: 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
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Lenguaje:EN
Publicado: Nature Portfolio 2020
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Acceso en línea:https://doaj.org/article/96ba881d42094af2a13b48b13192c77c
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spelling oai:doaj.org-article:96ba881d42094af2a13b48b13192c77c2021-12-02T19:16:47ZDisease trajectory browser for exploring temporal, population-wide disease progression patterns in 7.2 million Danish patients10.1038/s41467-020-18682-42041-1723https://doaj.org/article/96ba881d42094af2a13b48b13192c77c2020-10-01T00:00:00Zhttps://doi.org/10.1038/s41467-020-18682-4https://doaj.org/toc/2041-1723The 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.Troels SiggaardRoc ReguantIsabella F. JørgensenAmalie D. HaueMette LademannAlejandro Aguayo-OrozcoJessica X. HjaltelinAnders Boeck JensenKarina BanasikSøren BrunakNature PortfolioarticleScienceQENNature Communications, Vol 11, Iss 1, Pp 1-10 (2020)
institution DOAJ
collection DOAJ
language EN
topic Science
Q
spellingShingle Science
Q
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
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.
format article
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
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 Portfolio
publishDate 2020
url https://doaj.org/article/96ba881d42094af2a13b48b13192c77c
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