Piotr Jaroslaw Chmura
Videnskabelig programmør
Brunak Group
Blegdamsvej 3, 2200 København N., 06 Bygning 6, Bygning: 06-2-21
ORCID: 0000-0002-9371-6918
Flest downloads
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240 downloadsUdgivet
Survival prediction in intensive-care units based on aggregation of long-term disease history and acute physiology: a retrospective study of the Danish National Patient Registry and electronic patient records
Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › fagfællebedømt
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145 downloadsUdgivet
The bio.tools registry of software tools and data resources for the life sciences
Publikation: Bidrag til tidsskrift › Letter › Forskning › fagfællebedømt
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79 downloadsUdgivet
Dynamic and explainable machine learning prediction of mortality in patients in the intensive care unit: a retrospective study of high-frequency data in electronic patient records
Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › fagfællebedømt
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65 downloadsUdgivet
Discovery of drug-omics associations in type 2 diabetes with generative deep-learning models: [with Author Correction]
Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › fagfællebedømt
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61 downloadsUdgivet
A deep learning algorithm to predict risk of pancreatic cancer from disease trajectories
Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › fagfællebedømt
ID: 233701104
Flest downloads
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240
downloads
Survival prediction in intensive-care units based on aggregation of long-term disease history and acute physiology: a retrospective study of the Danish National Patient Registry and electronic patient records
Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › fagfællebedømt
Udgivet -
145
downloads
The bio.tools registry of software tools and data resources for the life sciences
Publikation: Bidrag til tidsskrift › Letter › Forskning › fagfællebedømt
Udgivet -
79
downloads
Dynamic and explainable machine learning prediction of mortality in patients in the intensive care unit: a retrospective study of high-frequency data in electronic patient records
Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › fagfællebedømt
Udgivet