Early warning of EUSIG-defined hypotensive events using a bayesian artificial neural network

Acta Neurochirurgica, Supplementum

Volumn 114, Issue , 2012, Pages 39-44

  Donald, Rob ^a   Howells, Tim ^b   Piper, Ian ^c   Chambers, I ^d   Citerio, G ^f   Enblad, P ^b   Gregson, B ^e   Kiening, K ^g   Mattern, J ^g   Nilsson, P ^b   Ragauskas, A ^h   Sahuquillo, Juan ⁱ   Sinnott, R ^j   Stell, A ^a  

^a UNIVERSITY OF GLASGOW   (United Kingdom)

^b UPPSALA UNIVERSITY HOSPITAL   (Sweden)

^c SOUTHERN GENERAL HOSPITAL   (United Kingdom)

^d JAMES COOK UNIVERSITY HOSPITAL   (United Kingdom)

^e NEWCASTLE GENERAL HOSPITAL   (United Kingdom)

^f SAN GERARDO HOSPITAL   (Italy)

^g UNIVERSITY OF HEIDELBERG   (Germany)

^h KAUNAS UNIVERSITY OF TECHNOLOGY   (Lithuania)

ⁱ HOSPITAL UNIVERSITARI VALL D HEBRON   (Spain)

^j UNIVERSITY OF MELBOURNE   (Australia)

more..

Author keywords

Bayesian Artificial Neural Network; Hypotension; Prediction; Traumatic Brain Injury

Indexed keywords

ARTIFICIAL NEURAL NETWORK; CONFERENCE PAPER; HEART RATE; HUMAN; HYPOTENSION; MEAN ARTERIAL PRESSURE; PREDICTION; SENSITIVITY AND SPECIFICITY;

EID: 85052609766     PISSN: 00651419     EISSN: 00016268     Source Type: Book Series    
DOI: 10.1007/978-3-7091-0956-4_8     Document Type: Conference Paper

References (11)

1. AvertIT (2008) Avert-it project (FP7-217049-AVERT-IT). URL: http://www.avert-it.org/Accessed on: 2010.09.01
2. BrainITTeam (2007) BrainIT. URL: http://www.brainit.org/Accessed on: 2007.12.22
3. Chesnut RM, Marshall LF, Klauber MR, Blunt BA, Baldwin N, Eisenberg HM, Jane JA, Marmarou A, Foulkes MA (1993) The role of secondary brain injury in determining outcome from severe head injury. J Trauma 34(2):216-222 (Pubitemid 23111023)
4. Donald R (2008) Event definition analysis, preliminary results. Technical report, Avert-IT Project URL: http://www.avert-it.org. Accessed on: 2010.09.01
5. Fawcett T (2004) ROC graphs: notes and practical considerations for researchers. URL: http://home.comcast.net/-tom.fawcett/pub-lic-html/papers/ ROC101.pdf. Accessed on: 2009.03.04
6. Howells T, Donald R (2008) Hypopredict provisional build (t2.3). Technical report, Avert-IT Project. URL: http://venus.nesc.gla.ac. uk/wordpress. Accessed on: 2009.01.08
7. Jones P, Andrews P, Midgley S, Anderson S, Piper I, Tocher J, Housley A, Corrie J, Slattery J, Dearden M, Miller D (1994) Measuring the burden of secondary insults in head-injured patients during intensive care. J Neurosurg Anesthesiol 6:4-14 (Pubitemid 24004855)
8. Miller JD, Becker DB (1982) Secondary insults to the injured brain. J R Coll Surg Edinb 27:292-298 (Pubitemid 13252132)
9. Neal RM (1996) Bayesian learning for neural networks. Lecture notes in statistics, vol 118. Springer, New York
10. Piper I, Chambers I, Citerio G, Enblad P, Gregson B, Howells T, Kiening K, Mattern J, Nilsson P, Ragauskas A, Sahuquillo J, Donald R, Sinnott R, Stell A (2010). The brain monitoring with information technology (BrainIT) collaborative network: EC feasibility study results and future direction. Acta Neurochir 1-13. ISSN 0001-6268. URL: http://dx.doi.org/10.1007/s00701-010-0719- 1; 10.1007/s00701-010-0719-1
11. Stell A, Sinnott R, Jiang J, Donald R, Chambers I, Citerio G, Enblad P, Gregson B, Howells T, Kiening K, Nilsson P, Ragauskas A, Sahuquillo J, Piper I (2009) Federating distributed clinical data for the prediction of adverse hypotensive events. Philos Transact A Math Phys Eng Sci 367(1898):2679-2690. doi: 10.1098/rsta.2009.0042, URL: http://rsta.royalsocietypublishing.org/con- tent/367/1898/2679. Abstract