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Papaioannou A
, Karamanis G, Rigas I, Spanos T, Roupa Z.
Determination and modelling of clinical laboratory data of healthy individuals and patients with end-stage renal failure.
Open Med (Wars)
2009;
4
:37-48. [DOI:
10.2478/s11536-008-0085-z
]
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Citation(s) in
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: 1
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[Indexed: 11/20/2022]
Open
Number
Cited by Other Article(s)
1
Different decision tree induction strategies for a medical decision problem.
Open Med (Wars)
2012. [DOI:
10.2478/s11536-011-0142-x
]
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Citation(s) in
RCA
: 7
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Impact Index Per Article: 0.6
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[Indexed: 11/20/2022]
Open
Abstract
Abstract
The paper presents a comparative study of selected recognition methods for the medical decision problem -acute abdominal pain diagnosis. We consider if it is worth using expert knowledge and learning set at the same time. The article shows two groups of decision tree approaches to the problem under consideration. The first does not use expert knowledge and generates classifier only on the basis of learning set. The second approach utilizes expert knowledge for specifying the decision tree structure and learning set for determining mode of decision making in each node based on Bayes decision theory. All classifiers are evaluated on the basis of computer experiments.
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