The Drill-Locate-Drill (DLD) algorithm for automated medical diagnostic reasoning: implementation and evaluation in psychiatry

Title: The Drill-Locate-Drill (DLD) algorithm for automated medical diagnostic reasoning: implementation and evaluation in psychiatry
Creator: Fernando, D. A. Irosh P.; Henskens, Frans A.
Relation: Studies in Computational Intelligence Vol. 656, p. 1-14
Publisher Link: http://dx.doi.org/10.1007/978-3-319-40171-3_1
Publisher: Springer
Resource Type: journal article
Date: 2016
Description: The drill-locate-drill (DLD) algorithm models the expert clinician's top-down diagnostic reasoning process, which generates a set of diagnostic hypotheses using a set of screening symptoms, and then tests them by eliciting specific clinical information for each differential diagnosis. The algorithm arrives at final diagnoses by matching the elicited clinical features with what is expected in each differential diagnosis using an efficient technique known as the orthogonal vector projection method. The DLD algorithm is compared with its rival select-test (ST) algorithm and its design/implementation in psychiatry, and evaluation using actual patient data is discussed.
Subject: Drill-locate-drill (DLD) algorithm; orthogonal vector projection method; medical expert systems; automated diagnostic reasoning
Identifier: http://hdl.handle.net/1959.13/1342819
Identifier: uon:29039
Identifier: ISSN:1860-949X
Language: eng
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