Results 291 to 300 of about 23,785,135 (371)
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Analysis of Electroacupuncture Parameters for Irritable Bowel Syndrome: A Data Mining Approach. [PDF]
Tang Y, Tang X, Wen Q.
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Data Mining-Based Model for Computer-Aided Diagnosis of Autism and Gelotophobia: Mixed Methods Deep Learning Approach. [PDF]
Eldawansy M, El Bakry H, M Shohieb S.
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Dyslipidemia in osteoarthritis: A study combining bibliometric analysis and retrospective data mining. [PDF]
Chen X, Liu J, Wang G.
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A study on adverse drug events of PD-1/PD-L1 inhibitors in lung cancer treatment: a decade-long data mining. [PDF]
Jia C +5 more
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Data mining and safety analysis of FGFR tyrosine kinase inhibitors based on the FAERS database. [PDF]
Li P, Wu L, Song Z.
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Genetic Epidemiology, 2005
Group 14 used data-mining strategies to evaluate a number of issues, including appropriate diagnosis, haplotype estimation, genetic linkage and association studies, and type I error. Methods ranged from exploratory analyses, to machine learning strategies (neural networks, supervised learning, and tree-based methods), to false discovery rate control of
L Adrienne, Cupples +8 more
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Group 14 used data-mining strategies to evaluate a number of issues, including appropriate diagnosis, haplotype estimation, genetic linkage and association studies, and type I error. Methods ranged from exploratory analyses, to machine learning strategies (neural networks, supervised learning, and tree-based methods), to false discovery rate control of
L Adrienne, Cupples +8 more
openaire +3 more sources
microeco: An R package for data mining in microbial community ecology.
FEMS Microbiology Ecology, 2020A large amount of sequencing data is produced in microbial community ecology studies using the high-throughput sequencing technique, especially amplicon-sequencing-based community data.
Chi Liu +3 more
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