Network differentiation: A computational method of pathogenesis diagnosis in traditional Chinese medicine based on systems science

Xu, Qiang; Guo, Qiang; Wang, Chunxia; Zhang, Song; Wen, Chuanbiao; Sun, Tao; Peng, Wei; Li, Weihong

doi:10.1016/j.artmed.2021.102134

Cited by 61 publications

(41 citation statements)

References 19 publications

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“…Also, the images used in it will be publicly available in a GitHub repository [ 21 ]. With 150 classes of objects and materials, ADE20K data [ 17 ] is another scene analysis criterion. ADE20K data contains the object segmentation mask and component segmentation mask, unlike other datasets.…”

Section: Datasets and Evaluation Metricsmentioning

confidence: 99%

“…There are also several pictures of parts of the head (like the mouth, eyes, and nose). In the training suite, there are precisely 20210 images, and there are 2,000 images in the validation suite and 3,000 images in the experimental suite [ 17 ]. Some of these images are depicted in Figure 1 .…”

Section: Datasets and Evaluation Metricsmentioning

confidence: 99%

“…The second to fifth elements of photo segmentation are linked to the object's portions (e.g., body parts, glass parts, and photo board parts). In the sixth segment, parts of the head are displayed (such as the eyes, mouth, and nose) [ 17 ].…”

Section: Figurementioning

confidence: 99%

“…Ala et al have used a metaheuristic algorithm and optimized an appointment scheduling issue for healthcare systems depending on the quality of fairness service [ 16 ]. Also, Xu et al, to simulate pathogenesis diagnosis, proposed a computer technique called network differentiation [ 17 ]. Segmentation accuracy has greatly improved since the reemergence of the deep neural network.…”

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

The Progress of Medical Image Semantic Segmentation Methods for Application in COVID‐19 Detection

Valizadeh

Shariatee

2021

Computational Intelligence and Neuroscience

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Image medical semantic segmentation has been employed in various areas, including medical imaging, computer vision, and intelligent transportation. In this study, the method of semantic segmenting images is split into two sections: the method of the deep neural network and previous traditional method. The traditional method and the published dataset for segmentation are reviewed in the first step. The presented aspects, including all-convolution network, sampling methods, FCN connector with CRF methods, extended convolutional neural network methods, improvements in network structure, pyramid methods, multistage and multifeature methods, supervised methods, semiregulatory methods, and nonregulatory methods, are then thoroughly explored in current methods based on the deep neural network. Finally, a general conclusion on the use of developed advances based on deep neural network concepts in semantic segmentation is presented.

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Section: Datasets and Evaluation Metricsmentioning

confidence: 99%

Section: Datasets and Evaluation Metricsmentioning

confidence: 99%

Section: Figurementioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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The Progress of Medical Image Semantic Segmentation Methods for Application in COVID‐19 Detection

Valizadeh

Shariatee

2021

Computational Intelligence and Neuroscience

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“…7 In recent years, Traditional Chinese Medicine (TCM) has been gradually recognized as an effective method for treating various diseases not only in China and Southeast Asia, but also in many Western countries. 8,9 TCM also plays an important role in drug development, providing abundant novel compound lead sources. Huangtu Decoction (HTD) was first recorded in the Treatise on "JingGuiYaoLue (Synopsis of Golden Chamber)" written around 205 A.D by Zhang Zhongjing, a famous medical scientist in the Eastern Han Dynasty.…”

Section: Introductionmentioning

confidence: 99%

Identification of Active Compounds and Mechanism of Huangtu Decoction for the Treatment of Ulcerative Colitis by Network Pharmacology Combined with Experimental Verification

Chen¹,

He²,

Liu³

et al. 2021

DDDT

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Introduction Huangtu decoction (HTD) has been widely used in the treatment of gastrointestinal bleeding, ulcerative colitis (UC) and gastrointestinal tumors in China, but its active compounds and mechanism are still not clear yet. The present research aimed to identify the active compounds and mechanism of HTD for the treatment of UC. Methods Firstly, the chemical compounds of HTD were qualitatively identified based on Q Exactive Orbitrap LC-MS/MS, and their potential targets were predicted through SwissTargetPrediction. Secondly, the differential expressed genes (DEGs) in colon tissues of UC patients and normal controls were retrieved from the GEO database. Thirdly, the overlapping targets of DEGs and the predicted targets were obtained and subjected to GO and KEGG analysis. Finally, the key targets in the most significantly enriched pathway were verified by in vivo experiment, and the protein and mRNA expressions of matrix metalloproteinase-1 (MMP1), MMP3, MMP7, MMP9 and MMP12 were determined by immunohistochemistry (IHC), Western blotting (WB) and quantitative real-time-PCR (qRT-PCR). Results A total of 47 compounds were identified and 29 overlapping targets were obtained from HTD extract. The most significantly enriched pathway of overlapping targets involved was MMP. HTD improved the pathological damage in colon tissues of DSS-induced UC model and significantly decreased the serum levels of IL-1β and IL-6. The protein and mRNA expressions of MMP1, MMP3 and MMP9 in colon tissues were significantly decreased after HTD treatment. Conclusion HTD treatment can alleviate the colonic inflammation via inhibiting MMPs including MMP1, MMP3 and MMP9.

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Application of microsensors and support vector machines in the assessment of lower limb posture correction in adolescents

Yin-man

Wang²

2022

Concurrency and Computation

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SummaryAutomatic monitoring of physical activity provides reliable data support for the maintenance of people's physical health and provides more scientific data for studying the relationship between physical activity and disease. In this article, a research on the evaluation of adolescent lower limb posture correction based on collaborative filtering and microsensors is carried out. Aiming at the problem that the human body posture monitoring system needs multiple nodes, this article simplifies the existing human body posture monitoring model and establishes a human body model with four degrees of freedom of the lower limbs. On this basis, the micro‐sensor assembly scheme and monitoring node layout scheme for obtaining model description parameters are determined. Methods such as collaborative filtering and support vector machines are used in the process of sensor data processing and correction effect evaluation. Finally, this article uses the constructed human body posture monitoring system to carry out the recognition test of the specific posture of the human body. The experimental results show that the evaluation scheme can effectively monitor and evaluate the effect of lower limb posture correction in adolescents.

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Network differentiation: A computational method of pathogenesis diagnosis in traditional Chinese medicine based on systems science

Cited by 61 publications

References 19 publications

The Progress of Medical Image Semantic Segmentation Methods for Application in COVID‐19 Detection

The Progress of Medical Image Semantic Segmentation Methods for Application in COVID‐19 Detection

Identification of Active Compounds and Mechanism of Huangtu Decoction for the Treatment of Ulcerative Colitis by Network Pharmacology Combined with Experimental Verification

Application of microsensors and support vector machines in the assessment of lower limb posture correction in adolescents

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