Title :
Diagnostic algorithms and clinical diagnostic thinking
Author :
Tonkonogy, Joseph M. ; Armstrong, James
Author_Institution :
Dept. of Psychiatry, Univ. of Massachusetts Med. Center, Worcester, MA, USA
Abstract :
Diagnostic algorithms are evaluated as a model of medical reasoning in the differentiation of the two syndromes or diseases with overlapping clinical manifestations. Linear-discriminant analysis (LDA), nonlinear discriminant analysis (NLDA), and sequential-statistical analysis (SSA) are compared with the decision-making practices of physicians, as they differentiated 175 cases with anterior or posterior aphasia, 789 cases with cerebral infarction or intracerebral hemorrhage, and 200 cases of schizophrenia or schizophreniform organic psychosis. Comparisons showed that the clinical decision-making process used by physicians can be approximated by neural sets or parallel distributed processing. Implications for the implementation of computer diagnostic programs in clinical practice are discussed
Keywords :
artificial intelligence; expert systems; medical diagnostic computing; LDA; NLDA; SSA; anterior; cerebral infarction; clinical diagnostic thinking; computer diagnostic programs; decision-making practices; diagnostic algorithms, linear-discriminant analysis; diseases; intracerebral hemorrhage; medical reasoning; neural sets; nonlinear discriminant analysis; overlapping clinical manifestations; parallel distributed processing; physicians; posterior aphasia; schizophrenia; schizophreniform organic psychosis; sequential-statistical analysis; syndromes; Decision making; Diseases; Hemorrhaging; Linear discriminant analysis; Medical diagnostic imaging; Neural networks; Physics computing; Psychiatry; Psychology; Statistical analysis;
Conference_Titel :
Engineering of Computer-Based Medical Systems, 1988., Proceedings of the Symposium on the
Conference_Location :
Minneapolis, MN
Print_ISBN :
0-8186-4863-5
DOI :
10.1109/ECBS.1988.5449
