Rule-based Case Detection
Rule-Based Case Detection is a method within the domain of passive case finding that uses predefined, deterministic criteria or rules to systematically identify potential cases from existing data sources.
7
Publications
473
Citations
21
Authors
12
Institutions
Publications per year
2017–2026
1
Parents
7
Bizarre Responses, Rule Detection and Frontal Lobe Lesions
Paul W. Burgess, Tim Shallice · Cortex · 1996 · 292 citations
Medicine, Neurology, Neuroscience +11
Research on CBR system based on data mining
Yuan Guo, Jie Hu, Yinghong Peng · Applied Soft Computing · 2011 · 50 citations
1–5 of 7
21
1
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1
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1
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1
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Swinburne University of Technology Sarawak Campus, Malaysia
1 publications · 11 citations
1
h-index
1–5 of 21
12
Swinburne University of Technology Sarawak Campus
Kuching, Malaysia
1 h-index
2 publications
22 citations

Shanghai Jiao Tong University
Shanghai, China
1 h-index
3 publications
150 citations

Chunghwa Telecom (Taiwan)
Taipei, Taiwan
1 h-index
1 publications
56 citations
Universidade Federal do Espírito Santo
Vitória, Brazil
1 h-index
3 publications
78 citations
Utah Department of Health
Salt Lake City, United States
1 h-index
1 publications
18 citations

Asia University
Taichung, Taiwan
1 h-index
2 publications
112 citations
University College London
London, United Kingdom
1 h-index
2 publications
584 citations
National Hospital for Neurology and Neurosurgery
London, United Kingdom
1 h-index
1 publications
292 citations
1–8 of 12
1 publications · 11 citations
1
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1 publications · 18 citations
1
h-index
1 publications · 56 citations
1
h-index
1 publications · 20 citations
1
h-index
1 publications · 292 citations
1
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1–5