The QuaTI System, sponsored by AMIB and DIXTAL, is developing an important database for intensive care in Brazil.
We screened a database of intensive care unit (ICU) patients at Tainan Sin-Lau hospital covering a period from 2010 to 2013.
More than 90% of all Swedish ICUs currently report their admissions to the Swedish Intensive Care Registry (SIR), a nationwide comparative audit database for intensive care.
In order to build the database, an intensive search for published resources on rice QTLs responsive to various abiotic stresses was conducted.
MIMIC-II is an invaluable public database for intensive care research, and we have successfully developed two freely available tools that facilitate accessing MIMIC-II.
They illustrate how investigators can formulate and answer research questions using open-source tools to explore the rich contents of the first (and so far the only) large and publicly available database for intensive care research.
Until now, the creation of massive (long-term and multichannel) waveform databases in intensive care required an interdisciplinary team of clinicians, engineers and informaticians and, in most cases, also design-specific software and hardware development.
First, we conducted intensive database research and reviewed literature to identify relevant factors concerning the future of the EU chemical industry and to extract factors considered to influence it.
A total of 216 articles were found in the PubMed database; after an intensive review of the analysis reported in the abstract, only 35 remained.
The SIR is a prospectively collected nationwide database of individual intensive care patient records, and it operates within the legal framework of all Swedish national quality registers.
nCPAP: Nasal continuous positive airway pressure; NeoBase: Danish neonatal clinical database; NICU: Neonatal intensive care unit; PPV: Positive predictive value; NPV: Negative predictive value.
