Diagnostic process monitoring with temporally uncertain models

This thesis develops a real-time trend detection and monitoring system based on previous work by Haimowitz, Le, and DeSouza [3, 5, 2]. The monitor they designed, TrenDx, used trend templates in which the temporal points where data patterns change are variable with respect to the actual process data. This thesis uses similar models to construct a monitoring system that is able to run in real time, based on a continuous, linearly segmented process data input stream. The instantiation of temporally significant template points against the process data is determined through a simulated annealing algorithm. The rankings of competing hypotheses in the monitor set is based on the distance of these template points from their expected temporal values, along with the area between the process data measurements and the value constraints placed on those parameters. The feasibility of the real-time monitor was evaluated in the domain of pediatric growth, particularly in comparison to previous versions of TrenDx, using an expert gold standard of the diagnoses of pediatric endocrinologists. Real-time TrenDx shows promise in its monitoring abilities and should be evaluated in other domains which are more suited to its continuous data stream input model.

Department dc:contributor.department

Massachusetts Institute of Technology. Dept. of Electrical Engineering and Computer Science.

Grantor dc:publisher

Massachusetts Institute of Technology

Year dc:date.issued

2002

Author dc:creator

• Bull, Steven M. (Steven Michael), 1979-

Advisor dc:contributor.advisor

• Peter Szolovits.

• Electrical Engineering and Computer Science.

Statement dc:rights

• M.I.T. theses are protected by copyright. They may be viewed from this source for any purpose, but reproduction or distribution in any format is prohibited without written permission. See provided URL for inquiries about permission.

Licence dc:rights.uri

• http://dspace.mit.edu/handle/1721.1/7582

Language dc:language.iso

eng

Handle dc:identifier.uri

http://hdl.handle.net/1721.1/16827

OAI identifier oai:identifier

oai:dspace.mit.edu:1721.1/16827