Abstract
Two algorithms for medical diagnostic reasoning along with their knowledgebase design and a method known as orthogonal vector projection for determining differential diagnoses are described. Whilst further research is necessary to achieve an effective full automation of medical diagnostic reasoning, these two algorithms provide the necessary initial theoretical foundations.
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CITATION STYLE
Fernando, D. A. I. P., & Henskens, F. A. (2016). The select and test (ST) algorithm and Drill-Locate-Drill (DLD) algorithm for medical diagnostic reasoning. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 9883 LNAI, pp. 356–359). Springer Verlag. https://doi.org/10.1007/978-3-319-44748-3_36
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