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For:
Marín O
, Pérez I, Ruiz D, Soriano A, García JD.
Neural Networks versus Genetic Algorithms as Medical Classifiers.
Lecture Notes in Computer Science
2011. [DOI:
10.1007/978-3-642-21344-1_41
]
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Citation(s) in
RCA
: 3
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[
Impact Index Per Article: 0.2
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[Indexed: 12/09/2022]
Number
Cited by Other Article(s)
1
Walczak S
. The Role of Artificial Intelligence in Clinical Decision Support Systems and a Classification Framework.
ACTA ACUST UNITED AC
2018. [DOI:
10.4018/ijccp.2018070103
]
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Citation(s) in
RCA
: 8
]
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Impact Index Per Article: 1.3
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[Indexed: 01/04/2023]
Abstract
Clinical decision support systems are meant to improve the quality of decision-making in healthcare. Artificial intelligence is the science of creating intelligent systems that solve complex problems at the level of or better than human experts. Combining artificial intelligence methods into clinical decision support will enable the utilization of large quantities of data to produce relevant decision-making information to practitioners. This article examines various artificial intelligence methodologies and shows how they may be incorporated into clinical decision-making systems. A framework for describing artificial intelligence applications in clinical decision support systems is presented.
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Steven Walczak
University of South Florida, Tampa, USA
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