Link to the University of Pittsburgh Homepage
Link to the University Library System Homepage Link to the Contact Us Form

Passive construction of diagnostic decision models: An empirical evaluation

Ratnapinda, Parot and Druzdzel, Marek J. (2009) Passive construction of diagnostic decision models: An empirical evaluation. In: International Multiconference on Computer Science and Information Technology (IMCSIT-2009), 12 October 2009 - 14 October 2009, Mragowo, Poland.

[img]
Preview
PDF
Available under License : See the attached license file.

Download (687kB) | Preview
[img] Plain Text (licence)
Available under License : See the attached license file.

Download (1kB)

Abstract

Bayesian networks have proven their value in solving complex diagnostic problems. The main bottleneck in applying Bayesian networks to diagnosis is model construction. In our earlier work [1], we proposed passive construction of diagnostic models based on observation of diagnosticians solving diagnostic cases. This idea has never been tested in practice. In this paper, we describe an experiment that tests an interactive prototype system called MARILYN on implementation of a system based on passive construction of diagnostic model, by inputting four hundred help desk cases collected at the University of Pittsburgh campus computing lab. We show that while the system’s diagnostic accuracy continues to increase with the number of cases, it reaches very reasonable levels after merely tens of cases.


Share

Citation/Export:
Social Networking:
Share |

Details

Item Type: Conference or Workshop Item (Paper)
Status: Published
Creators/Authors:
CreatorsEmailPitt UsernameORCID
Ratnapinda, Parot
Druzdzel, Marek J.marek@sis.pitt.eduDRUZDZEL0000-0002-7598-2286
Date: October 2009
Date Type: Publication
Page Range: 515 - 521
Event Title: International Multiconference on Computer Science and Information Technology (IMCSIT-2009)
Event Dates: 12 October 2009 - 14 October 2009
Event Type: Conference
Institution: University of Pittsburgh
Schools and Programs: School of Information Sciences > Information Science
Refereed: Yes
Official URL: http://www.proceedings2009.imcsit.org/pliks/88.pdf
Related URLs:
Date Deposited: 13 Jul 2011 13:40
Last Modified: 05 Mar 2019 01:55
URI: http://d-scholarship.pitt.edu/id/eprint/6010

Metrics

Monthly Views for the past 3 years

Plum Analytics


Actions (login required)

View Item View Item