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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Nature Portfolio
2020
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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) |
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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 |
work_keys_str_mv |
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