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Biomedical subjects

Danielle Sent

Publications and source records attributed to Danielle Sent.

3 recordsLinked to original sources

Automated test selection in decision-support systems: a case study in oncology.

Decision-support systems in medicine should be equipped with a facility that provides patient-tailored information about which test had best be performed in which phase of the patient's management. A decision-support system with a good test-selection facility may result in ordering fewer tests, decreasing financial costs, improving a patient's quality of life, and in an improvement of medical care in general. In close cooperation with two experts in oncology, we designed such a facility for a decision-support system for the staging of cancer of the oesophagus. The facility selects tests based upon a patient's health status and closely matches current routines. We feel that by extending our decision-support system with the facility, it provides further support for a patient's management and will be more interesting for use in daily medical practice. In this paper, we describe the test-selection facility that we designed for our decision-support system in oncology and present some initial results.

Decision Support Systems, Clinical↗

Generalised reliability characteristics for probabilistic networks.

BACKGROUND: In the medical domain, establishing a diagnosis typically amounts to reasoning about the unobservable truth, based upon a set of indirect observations from diagnostic tests. A diagnostic test may not be perfectly reliable, however. To avoid misdiagnosis, therefore, the reliability characteristics of the test should be taken into account upon reasoning. OBJECTIVE: In this paper, we address the issue of modelling the reliability characteristics of diagnostic tests in a probabilistic network. METHOD: To this end, we study the mathematical foundation of a test's characteristics and collate them with the probabilities required for a probabilistic network. RESULTS: We show that the standard reliability characteristics that are generally available from the literature have to be further detailed and stratified, for example by experts, before they can be included in a network. We demonstrate these modelling issues by means of a real-life probabilistic network in oncology.

Diagnosis, Computer-Assisted↗

On the use of vignettes for eliciting test-selection strategies.

Decision-support systems often include a strategy for selecting tests in their field of application. This strategy in essence captures procedural knowledge and serves to provide support for the reasoning processes involved. Generally, a test-selection strategy is offered in which tests are selected sequentially. For our field of application, we noticed that such a strategy would be an oversimplification, and decided to acquire knowledge about the actual strategy used by the experts. To this end, we composed a method that comprised an unstructured interview to gain general insight in the test-selection strategy used, and a subsequent structured interview, simulating daily practice through vignettes, to acquire full details. We used the method with two experts in our field of application and found that it closely fitted in with their daily practice and resulted in a large amount of detailed knowledge.

Decision Making↗