WORK OF BREATHING PER MINUTE OR POWER OF BREATHING ACCURATELY PREDICTED NONINVASIVELY USING AN ARTIFICIAL NEURAL NETWORK (ANN): 386

Research output: Contribution to journal › Article › peer-review

Disciplines

@article{6bcb6dc8209e44a596a96862e18b94b1,

title = "WORK OF BREATHING PER MINUTE OR POWER OF BREATHING ACCURATELY PREDICTED NONINVASIVELY USING AN ARTIFICIAL NEURAL NETWORK (ANN): 386",

author = "C Peters and Banner, \{Michael J\} and Layon, \{A J\} and A Gabrielli and N Euliano and Layon, \{Abraham Joseph\}",

year = "2004",

month = dec,

day = "1",

doi = "10.1097/00003246-200412001-00382",

language = "American English",

volume = "32",

journal = "Critical Care Medicine",

issn = "1530-0293",

publisher = "Lippincott Williams \& Wilkins",

}

TY - JOUR

T1 - WORK OF BREATHING PER MINUTE OR POWER OF BREATHING ACCURATELY PREDICTED NONINVASIVELY USING AN ARTIFICIAL NEURAL NETWORK (ANN): 386

AU - Peters, C

AU - Banner, Michael J

AU - Layon, A J

AU - Gabrielli, A

AU - Euliano, N

AU - Layon, Abraham Joseph

PY - 2004/12/1

Y1 - 2004/12/1

UR - http://content.wkhealth.com/linkback/openurl?sid=WKPTLP:landingpage&an=00003246-200412001-00382

U2 - 10.1097/00003246-200412001-00382

DO - 10.1097/00003246-200412001-00382

M3 - Article

SN - 1530-0293

VL - 32

JO - Critical Care Medicine

JF - Critical Care Medicine

ER -