Usability of CART algorithm for determining egg quality characteristics influencing fertility in the eggs of Japanese quail

Çelik, Şenol; Söğüt, Bünyamin; Şengül, Turgay; Eyduran, Ecevit; Şengül, Ahmet Yusuf

doi:10.1590/s1806-92902016001100001

Cited by 4 publications

(2 citation statements)

References 8 publications

(15 reference statements)

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“…The root node is the sample to be divided in the entire microarray dataset, where each gene is the attribute to be selected. And the bifurcation node of the tree is a selected attribute value, and the leaf nodes of the tree represent the class to which the tester belongs [ 9 ]. The growth process of the decision tree is the construction process of the classifier.…”

Section: Decision Tree Algorithm and Laparoscopic Image Technologymentioning

confidence: 99%

Feasibility and Safety of Mesocolon Excision with Medical Imaging: A Systematic Review and Meta-Analysis

Liu

Zhao

Song

2023

Computational Intelligence and Neuroscience

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The development of new technologies based on electronic intelligent images is a very active research and promotion of new technologies in recent years. This article mainly summarizes the basic concept, development, and technology of electronic intelligent imaging technology, as well as the research, promotion, and application of electronic intelligent imaging technology in clinical treatment. It especially emphasizes the practicality and application of electronic intelligent imaging technology in the current clinical operation process and conducts a meta-analysis of the current mesorectal excision, so as to provide more scientific and professional guidance for clinical surgery. The results of the meta-analysis showed that 3291 documents were initially obtained and duplicate documents were deleted by searching for keywords in mesocolon excision. We excluded 2399 subjects and articles whose interventions did not meet the inclusion criteria of this study after reading the title and abstract. Then, we obtained 892 papers that may meet the inclusion criteria through preliminary screening. We further optimized the search strategy based on selection criteria and data integrity filtering principles and finally determined 111 references. 100 articles that did not meet the requirements were excluded, and 11 articles were finally included for meta-analysis. Medical imaging can effectively improve the therapeutic effect of mesocolon excision and reduce the occurrence of complications. Therefore, it is very important to combine medical intelligent images for preoperative evaluation, and the development of the combination of surgical treatment and medical images should not be underestimated in the future.

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Section: Decision Tree Algorithm and Laparoscopic Image Technologymentioning

confidence: 99%

Feasibility and Safety of Mesocolon Excision with Medical Imaging: A Systematic Review and Meta-Analysis

Liu

Zhao

Song

2023

Computational Intelligence and Neuroscience

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“…Such method was applied by Çelik et al. (2016), who were looking for Japanese quail egg traits that combine with high fertility rate. Using the CART (classification and regression tree) algorithm, they showed that the highest fertility ratio—90.9% is achieved for eggs of very specific quails.…”

Section: Introductionmentioning

confidence: 99%

Spectral technique for detection of changes in eggshells caused by Mycoplasma synoviae

et al. 2019

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Mycoplasma synoviae (MS) is a major pathogen in chicken and turkeys, causing subclinical infection. MS infections are highly prevalent and may potentate and be involved in sinovitis, respiratory syndromes, as well as lead to eggshell apex abnormality (EAA). A deformed, inhomogeneous eggshell is susceptible to cracks and breaks through which microbes get in and additionally entails higher water loss in the egg during the entire incubation process. Not all eggs with eggshell apex abnormality possess characteristic deformation and that is why some eggs may be incorrectly classified during a visual inspection. To minimize the above risk, the spectral VIS technique and the analysis based on the classification tree method—CTM is proposed. The method makes use of specially defined parameters extracted from the shape of transmittance spectra of eggshells. Directional coefficients of the lines adjusted to the specific ranges of the transmittance spectrum are used in the process of classifying samples as those from MS-carrying hens and from healthy hens. Three CTM-based classifiers were created for a group of white, brown, and mixed shells. After comparing, it can be concluded that the best results were obtained for the group of brown shells (accuracy 88%, specificity 88%, and false negative rate 13%). The authors present a non-invasive spectral method that utilizes eggshells, i.e., the natural waste from chicken farms. The method enables entering data into the classifiers described in the article. The process provides an opportunity to correctly assign, the examined shell to the group of shells with increased risk—with approx. 86% accuracy. This means that, if a few of such results are registered, the herd is eligible more specific studies targeting MS bacteria. Regular spectral testing can support the detection of egg lesions in MS positive flocks.

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A Comparative Study for Egg Production in Layers by Decision Tree Analysis

Gevrekçi¹,

Takma²

2018

PJZ

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Usability of CART algorithm for determining egg quality characteristics influencing fertility in the eggs of Japanese quail

Cited by 4 publications

References 8 publications

Feasibility and Safety of Mesocolon Excision with Medical Imaging: A Systematic Review and Meta-Analysis

Feasibility and Safety of Mesocolon Excision with Medical Imaging: A Systematic Review and Meta-Analysis

Spectral technique for detection of changes in eggshells caused by Mycoplasma synoviae

A Comparative Study for Egg Production in Layers by Decision Tree Analysis

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