Davide Placido
Gæsteforsker
Brunak Group
Blegdamsvej 3B
2200 København N
ORCID: 0000-0002-8327-8838
Flest downloads
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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
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39 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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25 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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20 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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17 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
-
61
downloads
A deep learning algorithm to predict risk of pancreatic cancer from disease trajectories
Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › fagfællebedømt
Udgivet -
39
downloads
Discrete-time survival analysis in the critically ill: a deep learning approach using heterogeneous data
Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › fagfællebedømt
Udgivet -
25
downloads
Development and validation of a dynamic prediction model for unplanned ICU admission and mortality in hospitalized patients
Publikation: Working paper › Preprint › Forskning
Udgivet