Piotr Jaroslaw Chmura
Research programmer
Brunak Group
Blegdamsvej 3, 2200 København N., 06 Bygning 6, Building: 06-2-21
ORCID: 0000-0002-9371-6918
Most downloads
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184 downloadsPublished
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
Research output: Contribution to journal › Journal article › Research › peer-review
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104 downloadsPublished
The bio.tools registry of software tools and data resources for the life sciences
Research output: Contribution to journal › Letter › Research › peer-review
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56 downloadsPublished
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
Research output: Contribution to journal › Journal article › Research › peer-review
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22 downloadsPublished
JIB.tools 2.0 - A Bioinformatics Registry for Journal Published Tools with Interoperability to bio.tools
Research output: Contribution to journal › Journal article › Research › peer-review
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18 downloadsPublished
Discrete-time survival analysis in the critically ill: a deep learning approach using heterogeneous data
Research output: Contribution to journal › Journal article › Research › peer-review
ID: 233701104
Most downloads
-
184
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
Research output: Contribution to journal › Journal article › Research › peer-review
Published -
104
downloads
The bio.tools registry of software tools and data resources for the life sciences
Research output: Contribution to journal › Letter › Research › peer-review
Published -
56
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
Research output: Contribution to journal › Journal article › Research › peer-review
Published