Davide Placido
Gæsteforsker
Brunak Group
Blegdamsvej 3B
2200 København N
ORCID: 0000-0002-8327-8838
Flest downloads
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80 downloadsUdgivet
A deep learning algorithm to predict risk of pancreatic cancer from disease trajectories
Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › fagfællebedømt
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47 downloadsUdgivet
Discrete-time survival analysis in the critically ill: a deep learning approach using heterogeneous data
Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › fagfællebedømt
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31 downloadsUdgivet
Development and validation of a dynamic prediction model for unplanned ICU admission and mortality in hospitalized patients
Publikation: Working paper › Preprint › Forskning
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27 downloadsUdgivet
Using Machine Learning to Identify Patients at High Risk of Inappropriate Drug Dosing in Periods with Renal Dysfunction
Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › fagfællebedømt
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26 downloadsUdgivet
Machine Learning to Identify Patients at Risk of Inappropriate Dosing for Renal Risk Medications: A Critical Comment on Kaas-Hansen et al [Response to Letter]
Publikation: Bidrag til tidsskrift › Kommentar/debat › Forskning
ID: 224981565
Flest downloads
-
80
downloads
A deep learning algorithm to predict risk of pancreatic cancer from disease trajectories
Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › fagfællebedømt
Udgivet -
47
downloads
Discrete-time survival analysis in the critically ill: a deep learning approach using heterogeneous data
Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › fagfællebedømt
Udgivet -
31
downloads
Development and validation of a dynamic prediction model for unplanned ICU admission and mortality in hospitalized patients
Publikation: Working paper › Preprint › Forskning
Udgivet