Abstract MIMIC-III ('Medical Information Mart for Intensive Care') is a large, single-center
database comprising information relating to patients admitted to critical care units at a large …

Objective: We sought to develop an intensive care unit research database applying
automated techniques to aggregate high-resolution diagnostic and therapeutic data from a …

Objective Lack of reproducibility in medical studies is a barrier to the generation of a robust
knowledge base to support clinical decision-making. In this paper we outline the Medical …

OBJECTIVE: As data science and artificial intelligence continue to rapidly gain traction, the
publication of freely available ICU datasets has become invaluable to propel data-driven …

Critical care patients are monitored closely through the course of their illness. As a result of
this monitoring, large amounts of data are routinely collected for these patients. Philips …

Objective To build and curate a linkable multi-centre database of high resolution longitudinal
electronic health records (EHR) from adult Intensive Care Units (ICU). To develop a set of …

Abstract PIC (Paediatric Intensive Care) is a large paediatric-specific, single-centre, bilingual
database comprising information relating to children admitted to critical care units at a large …

Objective: With important technological advances in healthcare delivery and the Internet,
clinicians and scientists now have access to overwhelming number of available databases …

The critical state of intensive care unit (ICU) patients demands close monitoring, and as a
result a large volume of multi-parameter data is collected continuously. This represents a …

OBJECTIVE To develop and validate an informatics infrastructure for syndrome surveillance,
decision support, reporting, and modeling of critical illness. METHODS Using open-schema …