IDEAS home Printed from https://ideas.repec.org/p/zbw/sfb475/200115.html
   My bibliography  Save this paper

Pattern recognition in intensive care online monitoring

Author

Listed:
  • Fried, Roland
  • Gather, Ursula
  • Imhoff, Michael

Abstract

Clinical information systems can record numerous variables describing the patient’s state at high sampling frequencies. Intelligent alarm systems and suitable bedside decision support are needed to cope with this flood of information. A basic task here is the fast and correct detection of important patterns of change such as level shifts and trends in the data. We present approaches for automated pattern detection in online-monitoring data. Several methods based on curve fitting and statistical time series analysis are described. Median filtering can be used as a preliminary step to reduce the noise and to remove clinically irrelevant short term fluctuations. Our special focus is the potential of these methods for online-monitoring in intensive care. The strengths and weaknesses of the methods are discussed in this special context. The best approach may well be a suitable combination of the methods for achieving reliable results. Further investigations are needed to further improve the methods and their performance should be compared extensively in simulation studies and applications to real data.

Suggested Citation

  • Fried, Roland & Gather, Ursula & Imhoff, Michael, 2001. "Pattern recognition in intensive care online monitoring," Technical Reports 2001,15, Technische Universität Dortmund, Sonderforschungsbereich 475: Komplexitätsreduktion in multivariaten Datenstrukturen.
    • Handle: RePEc:zbw:sfb475:200115
    as

    Download full text from publisher

    File URL: https://www.econstor.eu/bitstream/10419/77170/2/2001-15.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Fried, Roland & Gather, Ursula & Imhoff, Michael & Bauer, Marcus, 2000. "Statistical methods in intensive care online monitoring," Technical Reports 2000,33, Technische Universität Dortmund, Sonderforschungsbereich 475: Komplexitätsreduktion in multivariaten Datenstrukturen.
    2. Morik, Katharina & Imhoff, Michael & Brockhausen, Peter & Joachims, Thorsten & Gather, Ursula, 2000. "Knowledge discovery and knowledge validation in intensive care," Technical Reports 2000,14, Technische Universität Dortmund, Sonderforschungsbereich 475: Komplexitätsreduktion in multivariaten Datenstrukturen.
    3. Gather, Ursula & Fried, Roland & Lanius, Vivian & Imhoff, Michael, 2001. "Online monitoring of high dimensional physiological time series: A case study," Technical Reports 2001,03, Technische Universität Dortmund, Sonderforschungsbereich 475: Komplexitätsreduktion in multivariaten Datenstrukturen.
    4. Gather, Ursula & Imhoff, Michael & Fried, Roland, 2000. "Graphical models for multivariate time series from intensive care monitoring," Technical Reports 2000,32, Technische Universität Dortmund, Sonderforschungsbereich 475: Komplexitätsreduktion in multivariaten Datenstrukturen.
    5. Guyatt, Gordon & Drummond, Michael & Feeny, David & Tugwell, Peter & Stoddart, Greg & Haynes, R. Brian & Bennett, Kathryn & Labelle, Roberta, 1986. "Guidelines for the clinical and economic evaluation of health care technologies," Social Science & Medicine, Elsevier, vol. 22(4), pages 393-408, January.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Banta, David, 2003. "The development of health technology assessment," Health Policy, Elsevier, vol. 63(2), pages 121-132, February.
    2. Fried, Roland & Didelez, Vanessa, 2005. "Latent variable analysis and partial correlation graphs for multivariate time series," Statistics & Probability Letters, Elsevier, vol. 73(3), pages 287-296, July.
    3. Morik, Katharina & Imhoff, Michael & Brockhausen, Peter & Joachims, Thorsten & Gather, Ursula, 2000. "Knowledge discovery and knowledge validation in intensive care," Technical Reports 2000,14, Technische Universität Dortmund, Sonderforschungsbereich 475: Komplexitätsreduktion in multivariaten Datenstrukturen.
    4. Elahe Khorasani & Majid Davari & Abbas Kebriaeezadeh & Farshad Fatemi & Ali Akbari Sari & Vida Varahrami, 2022. "A comprehensive review of official discount rates in guidelines of health economic evaluations over time: the trends and roots," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 23(9), pages 1577-1590, December.
    5. Brooke S. Harrow & Thomas M. Lasater & Kim M. Gans, 1996. "A Strategy for Accurate Collection of Incremental Cost Data for Cost-Effectiveness Analyses in Field Trials," Evaluation Review, , vol. 20(3), pages 275-290, June.
    6. Fried, Roland H., 2003. "Robust filtering of time series with trends," Technical Reports 2003,30, Technische Universität Dortmund, Sonderforschungsbereich 475: Komplexitätsreduktion in multivariaten Datenstrukturen.
    7. Becker, Claudia & Fried, Roland, 2001. "Sliced inverse regression for high-dimensional time series," Technical Reports 2001,14, Technische Universität Dortmund, Sonderforschungsbereich 475: Komplexitätsreduktion in multivariaten Datenstrukturen.
    8. Imhoff, Michael & Bauer, Marcus & Gather, Ursula & Löhlein, Dietrich, 1998. "Time series analysis in intensive care medicine," Technical Reports 1998,01, Technische Universität Dortmund, Sonderforschungsbereich 475: Komplexitätsreduktion in multivariaten Datenstrukturen.
    9. Marin-Galiano, Marcos & Luebke, Karsten & Christmann, Andreas & Rüping, Stefan, 2005. "Determination of hyper-parameters for kernel based classification and regression," Technical Reports 2005,38, Technische Universität Dortmund, Sonderforschungsbereich 475: Komplexitätsreduktion in multivariaten Datenstrukturen.
    10. Thomas R. Einarson & Steven R. Arikian & John J. Doyle, 1995. "Rank-order Stability Analysis (ROSA)," Medical Decision Making, , vol. 15(4), pages 367-372, October.
    11. Maureen P. M. H. Rutten‐van Mölken & Eddy K. A. Van & René C. J. A. van Vliet, 1994. "Statistical analysis of cost outcomes in a randomized controlled clinical trial," Health Economics, John Wiley & Sons, Ltd., vol. 3(5), pages 333-345, September.
    12. Baltussen, Rob & Ament, Andre & Leidl, Reiner, 1996. "Making cost assessments based on RCTs more useful to decision-makers," Health Policy, Elsevier, vol. 37(3), pages 163-183, September.
    13. Don Husereau & Anthony Culyer & Peter Neumann & Philip Jacobs, 2015. "How do Economic Evaluations Inform Health Policy Decisions for Treatment and Prevention in Canada and the United States?," Applied Health Economics and Health Policy, Springer, vol. 13(3), pages 273-279, June.

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:zbw:sfb475:200115. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: ZBW - Leibniz Information Centre for Economics (email available below). General contact details of provider: https://edirc.repec.org/data/isdorde.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.