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» Distributed Patient Scheduling in Hospitals
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SIGMOD
2007
ACM
144views Database» more  SIGMOD 2007»
14 years 5 months ago
GhostDB: querying visible and hidden data without leaks
Imagine that you have been entrusted with private data, such as corporate product information, sensitive government information, or symptom and treatment information about hospita...
Nicolas Anciaux, Mehdi Benzine, Luc Bouganim, Phil...
VLDB
2007
ACM
89views Database» more  VLDB 2007»
13 years 11 months ago
GhostDB: Hiding Data from Prying Eyes
Imagine that you have been entrusted with private data, such as corporate product information, sensitive government information, or symptom and treatment information about hospita...
Christophe Salperwyck, Nicolas Anciaux, Mehdi Benz...
OZCHI
2006
ACM
13 years 11 months ago
From the certainty of information transfer to the ambiguity of intuition
Handovers between shifts are known causes of preventable adverse events in hospitals. In order to gain an insight into the information transfer that occurs between shifts of senio...
Florian Mueller, Stefanie Kethers, Leila Alem, Ros...
AUSDM
2006
Springer
112views Data Mining» more  AUSDM 2006»
13 years 9 months ago
Accuracy Estimation With Clustered Dataset
If the dataset available to machine learning results from cluster sampling (e.g. patients from a sample of hospital wards), the usual cross-validation error rate estimate can lead...
Ricco Rakotomalala, Jean-Hugues Chauchat, Fran&cce...
BDA
2007
13 years 6 months ago
Querying and Aggregating Visible and Hidden Data Without Leaks
Imagine that you have been entrusted with private data, such as corporate product information, sensitive government information, or symptom and treatment information about hospita...
Nicolas Anciaux, Mehdi Benzine, Luc Bouganim, Phil...