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• W2892376868 abstract "To obtain a screening tool for colorectal cancer (CRC) based on gut microbiota, we seek here to identify an optimal classifier for CRC detection as well as a novel nonlinear feature selection method for determining the most discriminative microbial species. In this study, the intestinal microflora in feces of 141 patients were modeled using general regression neural networks (GRNNs) combined with the proposed feature selection method. The proposed model led to slightly higher accuracy <inline-formula><tex-math notation=LaTeX>${mathrm{(AUC}}= {mathrm{0.911}})$</tex-math></inline-formula> than previous studies <inline-formula><tex-math notation=LaTeX>${mathrm{(AUC}}< {mathrm{0.87}})$</tex-math></inline-formula> . The results show that the <i>Clostridium scindens</i> and <i>Bifidobacterium angulatum</i> are indicators of healthy gut flora and CRC happens to reduce these bacterial species. In addition, <i>Fusobacterium gonidiaformans</i> was found to be closely correlated with the CRC. The occurrence of colorectal adenoma was not sufficiently discriminatory based on fecal microbiota implicating that the change of colonic flora happens in the advanced phase of CRC development rather than initial adenoma. Integrating the proposed model with fecal occult blood test (FOBT), the CRC detection accuracy remained nearly unchanged <inline-formula><tex-math notation=LaTeX>${mathrm{(AUC}}= {mathrm{0.915}})$</tex-math></inline-formula> . The performance of the proposed method is validated using independent cohorts from America and Austria. Our results suggest that the proposed feature selection method combined with GRNN is potentially an accurate method for CRC detection." @default.
• W2892376868 created "2018-09-27" @default.
• W2892376868 creator A5032599917 @default.
• W2892376868 creator A5061291853 @default.
• W2892376868 creator A5070043329 @default.
• W2892376868 date "2018-01-01" @default.
• W2892376868 modified "2023-09-26" @default.
• W2892376868 title "Detection of Colorectal Carcinoma Based on Microbiota Analysis using Generalized Regression Neural Networks and Nonlinear Feature Selection" @default.
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• W2892376868 doi "https://doi.org/10.1109/tcbb.2018.2870124" @default.
• W2892376868 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/30222584" @default.
• W2892376868 hasPublicationYear "2018" @default.
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