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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Auteurs principaux:	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
Langue:	EN
Publié:	Nature Portfolio 2020
Sujets:	Science Q
Accès en ligne:	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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Disease trajectory browser for exploring temporal, population-wide disease progression patterns in 7.2 million Danish patients

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