Deriving trends in historical and real-time continuously sampled medical data

Journal of Intelligent Information Systems

Volumn 13, Issue 1-2, 1999, Pages 47-71

  Salatian, Apkar ^a   Hunter, Jim ^b  

^a ROBERT GORDON UNIVERSITY   (United Kingdom)

^b UNIVERSITY OF ABERDEEN   (United Kingdom)

Author keywords

[No Author keywords available]

Indexed keywords

ABSTRACTING; ALGORITHMS; DATA PROCESSING; DATA STRUCTURES; DATABASE SYSTEMS; INTENSIVE CARE UNITS; REAL TIME SYSTEMS; ARTIFICIAL INTELLIGENCE; INFORMATION SYSTEMS;

CONTINUOUS MEDICAL DATA; HISTORICAL DATA; INTERVAL IDENTIFICATION; REALTIME DATA; TEMPORAL INFERENCE; TEMPORAL INTERPOLATION; CONTINUOUS DATA; DATA POINTS; INFORMATION OVERLOADS; LARGE VOLUMES; MEDICAL DATA; REAL-TIME DATA;

MEDICAL COMPUTING; INTENSIVE CARE UNITS;

EID: 0033164603     PISSN: 09259902     EISSN: None     Source Type: Journal    
DOI: 10.1023/a:1008706905683     Document Type: Article

References (20)

1. Aliferis, C.F., Cooper, G.F., Pollock, M.E., Buchanan, B.G., and Wagner, M.M. (1997). Representing and Developing Temporally Abstracted Knowledge as a Means Towards Facilitating Time Modeling in Medical Decision-Support Systems, Computers and Biology in Medicine, 27(5), 411-434.
2. Allen, J.F. (1984). Towards a General Theory of Action and Time, Artificial Intelligence, 23, 123-154.
3. Chittaro, L. and Dojat, M. (1997). Using a General Theory of Time and Change in Patient Monitoring: Experiment and Evaluation, Computers and Biology in Medicine, 27(5), 435-452.
4. DeCoste, D. (1991). Dynamic Across-Time Measurement Interpretation, Artificial Intelligence, 51, 273-341.
5. Dojat, M. and Sayettat, C. (1996). Realistic Model for Temporal Reasoning in Real-Time Patient Monitoring, Applied Artificuial Intelligence, 10, 121-143.
6. Gallagher, Jr. N.C. and Wise, G.L. (1981). A Theoretical Analysis of the Properties of Median Filters, IEEE Transactions on Acoustics, Speech and Signal Processing, ASSP-29(6), 1136-1141.
7. Haddad, R.A. and Parsons, T.W. (1991). Digital Signal Processing Theory, Applications, and Hardware. Design of DSP Algorithms. Computer Science Press, chap. 5, pp. 184-273.
8. Haimowitz, I. and Kohane, I. (1996). Managing Temporal Worlds for Medical Trend Diagnosis, Artificial Intelligence in Medicine, 8(3), 299-321.
9. Haimowitz, I., Le, P.P., and Kohane, I. (1995). Clinical Modelling Using Regression-Based Trend Templates, Artificial Intelligence in Medicine, 7(6), 473-496.
10. Hau, D.T.-W. (1994). Learning Qualitative Models from Physiological Signals, Master of Science in Electrical Engineering and Computer Science, Massachusetts Institute of Technology.
11. Horn, W., Mikcsh, S., Egghart, G., and Popow, C. (1997). Effective Data Validation of High-Frequency Data: Time-Point-, Time-Interval-, and Trend-Based Methods, Computers and Biology in Medicine, 27(5), 389-409.
12. Kahn, M.G., Fagan, L.M., and Sheiner, L.B. (1991). Combining Physiological Models and Symbolic Methods to Interpret Time-Varying Patient Data, Methods of Information in Medicine, 30, 167-178.
13. Kohane, I.S. and Haimowitz, I.J. (1993). Hypothesis-Driven data abstraction with trend templates, Symposium on Computer Applications in Medical Care.
14. Larizza, C., Bernuzzi, G., and Stefanelli, M. (1995). A General Framework for Building Patient Monitoring Systems. Proceedings of the 5th Conference of Artificial Intelligence in Medicine Europe (AIME 95) (pp. 91-102). Pavia.
15. Miksch, S., Horn, W., Popow, C., and Paky, F. (1996). Utilizing Temporal Data Abstraction for Data Validation and Therapy Planning for Artificially Ventilated Newborn Infants, Artificial Intelligence in Medicine, 8(6), 543-576.
16. Nelson, K.S. and Hadden, G.D. (1994). Real-Time Feature Recognition in Medical Data, Working Notes of AAAI Spring Symposium Series: Interpreting Clinical Data (pp. 101-105). Stanford University.
17. Russ, T.A. (1990). Using Hindsight in Medical Decision Making, Computer Methods and Programs in Biomedicine, Elsevier, vol. 32, pp. 81-90.
18. Salatian, A. (1997). ASSOCIATE: The Interpretation of ICU Data Using ASSOCIAtional and TEmporal Knowledge, PhD thesis, Aberdeen University.
19. Shahar, Y. (1997). A Framework for Knowledge-Based Temporal Abstraction, Artificial Intelligence, 90(1/2), 79-133.
20. Steimann, F. and Adlassnig, K.-P. (1994). Two-Stage Interpretation of ICU Data Based on Fuzzy Sets, Working Notes of AAAI Spring Symposium Series: Interpreting Clinical Data (pp. 152-156). Stanford University.