Federating distributed clinical data for the prediction of adverse hypotensive events.

@article{Stell2009FederatingDC,
  title={Federating distributed clinical data for the prediction of adverse hypotensive events.},
  author={Anthony Stell and Richard Sinnott and Jipu Jiang and Rob Donald and Iain Chambers and Giuseppe Citerio and Per Enblad and Barbara Gregson and Tim Howells and Karl Kiening and Pelle Nilsson and Arminas Ragauskas and Juan Sahuquillo and Ian Piper},
  journal={Philosophical transactions. Series A, Mathematical, physical, and engineering sciences},
  year={2009},
  volume={367 1898},
  pages={2679-90}
}
The ability to predict adverse hypotensive events, where a patient's arterial blood pressure drops to abnormally low (and dangerous) levels, would be of major benefit to the fields of primary and secondary health care, and especially to the traumatic brain injury domain. A wealth of data exist in health care systems providing information on the major health indicators of patients in hospitals (blood pressure, temperature, heart rate, etc.). It is believed that if enough of these data could be… CONTINUE READING
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