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  1. AU="Donghua Chen"
  2. AU="Ioannis Seimenis"
  3. AU="Benjamin B Lindsey"
  4. AU="Mythili, S"
  5. AU="Mayer, Paul M"
  6. AU="Matthews, Anberitha T"
  7. AU="Zhou, Haikun"
  8. AU=Gentric Graldine
  9. AU=Lynn Joanne
  10. AU="Evangelou, Iliana"
  11. AU="Stryjewski, Martin E"
  12. AU="Stahnisch, Frank W."
  13. AU="Murakami, Tomoaki"
  14. AU="Mangal, Chris"
  15. AU="Hashem Koohy"
  16. AU="Taylor, Eric B"
  17. AU="Giroux, Nicholas S"
  18. AU="Carmen Avila-Casado"
  19. AU=Coke Christopher J.
  20. AU="Nascimento, José Hamilton do"
  21. AU="Parel, Philip M"
  22. AU="Sandrine Barbaux"
  23. AU="Sarkar, S."
  24. AU="Maymi, Valerie"
  25. AU="Ager, Casey"

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  1. Artikel ; Online: A Visualization Method of Knowledge Graphs for the Computation and Comprehension of Ultrasound Reports

    Jiayi Feng / Runtong Zhang / Donghua Chen / Lei Shi

    Biomimetics, Vol 8, Iss 8, p

    2023  Band 560

    Abstract: Knowledge graph visualization in ultrasound reports is essential for enhancing medical decision making and the efficiency and accuracy of computer-aided analysis tools. This study aims to propose an intelligent method for analyzing ultrasound reports ... ...

    Abstract Knowledge graph visualization in ultrasound reports is essential for enhancing medical decision making and the efficiency and accuracy of computer-aided analysis tools. This study aims to propose an intelligent method for analyzing ultrasound reports through knowledge graph visualization. Firstly, we provide a novel method for extracting key term networks from the narrative text in ultrasound reports with high accuracy, enabling the identification and annotation of clinical concepts within the report. Secondly, a knowledge representation framework based on ultrasound reports is proposed, which enables the structured and intuitive visualization of ultrasound report knowledge. Finally, we propose a knowledge graph completion model to address the lack of entities in physicians’ writing habits and improve the accuracy of visualizing ultrasound knowledge. In comparison to traditional methods, our proposed approach outperforms the extraction of knowledge from complex ultrasound reports, achieving a significantly higher extraction index (η) of 2.69, surpassing the general pattern-matching method (2.12). In comparison to other state-of-the-art methods, our approach achieves the highest P (0.85), R (0.89), and F1 (0.87) across three testing datasets. The proposed method can effectively utilize the knowledge embedded in ultrasound reports to obtain relevant clinical information and improve the accuracy of using ultrasound knowledge.
    Schlagwörter ultrasound report ; knowledge graph ; knowledge representation ; machine learning ; natural language processing ; precision medicine ; Technology ; T
    Thema/Rubrik (Code) 004
    Sprache Englisch
    Erscheinungsdatum 2023-11-01T00:00:00Z
    Verlag MDPI AG
    Dokumenttyp Artikel ; Online
    Datenquelle BASE - Bielefeld Academic Search Engine (Lebenswissenschaftliche Auswahl)

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  2. Artikel ; Online: The Characteristics and Evaluation of Future Droughts across China through the CMIP6 Multi-Model Ensemble

    Zice Ma / Peng Sun / Qiang Zhang / Yifan Zou / Yinfeng Lv / Hu Li / Donghua Chen

    Remote Sensing, Vol 14, Iss 1097, p

    2022  Band 1097

    Abstract: Understanding historical and future drought patterns is crucial to acclimation and the mitigation of drought. The negative impact of China’s droughts on the social economy has attracted attention; however, there is still no comprehensive or long-term ... ...

    Abstract Understanding historical and future drought patterns is crucial to acclimation and the mitigation of drought. The negative impact of China’s droughts on the social economy has attracted attention; however, there is still no comprehensive or long-term monitoring pattern for future droughts. Here we evaluated the precipitation and temperature simulation capability of Coupled Model Intercomparison Project Phase 6 (CMIP6) and evaluated the temporal and spatial pattern of droughts during 1961–2099 across China. The results show that the multi-model ensemble mean (MME) is more representative of the observed precipitation and temperatures across China than the single climate model. China experienced an overall drying trend in the historical period. After 1991, the drought frequency (DF), drought duration (DD), and drought intensity (DI) in the northwest of the Inland River Basin and in the Yangtze River Basin increased significantly. Compared with the historical period, China will suffer more frequent drought events, although the DD and DI will be weakened under SSP1-2.6 and SSP2-4.5, while China will experience longer DD and more serious drought events under SSP3-7.0 and SSP5-8.5. The Hai River Basin and Huai River Basin are expected to have more serious drought trends in summer. Compared with historical periods, the drought trend will increase by 2.9–5.7 times and 1.1–4.2 times, respectively. The results can be used for decision making regarding future drought control.
    Schlagwörter drought assessment ; drought characteristics ; standardized precipitation evapotranspiration index ; CMIP6 models ; SSP scenarios ; China ; Science ; Q
    Thema/Rubrik (Code) 650
    Sprache Englisch
    Erscheinungsdatum 2022-02-01T00:00:00Z
    Verlag MDPI AG
    Dokumenttyp Artikel ; Online
    Datenquelle BASE - Bielefeld Academic Search Engine (Lebenswissenschaftliche Auswahl)

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  3. Artikel ; Online: Crop Type Identification Using High-Resolution Remote Sensing Images Based on an Improved DeepLabV3+ Network

    Zhu Chang / Hu Li / Donghua Chen / Yufeng Liu / Chen Zou / Jian Chen / Weijie Han / Saisai Liu / Naiming Zhang

    Remote Sensing, Vol 15, Iss 21, p

    2023  Band 5088

    Abstract: Remote sensing technology has become a popular tool for crop classification, but it faces challenges in accurately identifying crops in areas with fragmented land plots and complex planting structures. To address this issue, we propose an improved method ...

    Abstract Remote sensing technology has become a popular tool for crop classification, but it faces challenges in accurately identifying crops in areas with fragmented land plots and complex planting structures. To address this issue, we propose an improved method for crop identification in high-resolution remote sensing images, achieved by modifying the DeepLab V3+ semantic segmentation network. In this paper, the typical crop area in the Jianghuai watershed is taken as the experimental area, and Gaofen-2 satellite images with high spatial resolutions are used as the data source. Based on the original DeepLab V3+ model, CI and OSAVI vegetation indices are added to the input layers, and MobileNet V2 is used as the backbone network. Meanwhile, the upper sampling layer of the network is added, and the attention mechanism is added to the ASPP and the upper sampling layers. The accuracy verification of the identification results shows that the MIoU and PA of this model in the test set reach 85.63% and 95.30%, the IoU and F1_Score of wheat are 93.76% and 96.78%, and the IoU and F1_Score of rape are 74.24% and 85.51%, respectively. The identification accuracy of this model is significantly better than that of the original DeepLab V3+ model and other related models. The proposed method in this paper can accurately extract the distribution information of wheat and rape from high-resolution remote sensing images. This provides a new technical approach for the application of high-resolution remote sensing images in identifying wheat and rape.
    Schlagwörter crop identification ; improved DeepLab V3+ network ; GaoFen-2 ; Jianghuai watershed ; Science ; Q
    Thema/Rubrik (Code) 571
    Sprache Englisch
    Erscheinungsdatum 2023-10-01T00:00:00Z
    Verlag MDPI AG
    Dokumenttyp Artikel ; Online
    Datenquelle BASE - Bielefeld Academic Search Engine (Lebenswissenschaftliche Auswahl)

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  4. Artikel ; Online: Satellite Evidence for Divergent Forest Responses within Close Vicinity to Climate Fluctuations in a Complex Terrain

    Jing Wang / Wei Fang / Peipei Xu / Hu Li / Donghua Chen / Zuo Wang / Yuanhong You / Christopher Rafaniello

    Remote Sensing, Vol 15, Iss 2749, p

    2023  Band 2749

    Abstract: Climate change has a significant impact on forest ecosystems worldwide, but it is unclear whether forest responses to climate fluctuations are homogeneous across regions. In this study, we investigated the impact of climatic fluctuations on forest growth ...

    Abstract Climate change has a significant impact on forest ecosystems worldwide, but it is unclear whether forest responses to climate fluctuations are homogeneous across regions. In this study, we investigated the impact of climatic fluctuations on forest growth in a complex terrain, in Anhui Province of China, using Enhanced Vegetation Index (EVI) data from the Moderate-Resolution Imaging Spectroradiometer (MODIS), while considering the impact of terrain characteristics and forest types. Our regional-scale analysis found that the forest response to climatic drivers in Anhui Province is not homogeneous, with only 69% of the forest area driven by temperature (TEM), while 11% is precipitation (PRE) driven and 20% is solar radiation (SWD) driven. We also found with random forest models that terrain traits (elevation and slope) contributed significantly (29.47% and 27.96%) to the spatial heterogeneity of forest response to climatic drivers, with higher elevation associated with a stronger positive correlation between the EVI and temperature ( p < 0.001), a weaker positive correlation between the EVI with precipitation ( p < 0.001), and a stronger negative correlation between the EVI with solar radiation ( p < 0.01), while forest type contributed the least (4.21%). Our results also imply that in a warmer and dryer climate, some forest patches may switch from TEM driven to PRE driven, which could lead to a decrease in forest productivity, instead of an increase as predicted by existing climate models. These results highlight the heterogeneous response of forests within close vicinity to climate fluctuations in a complex terrain, which has important implications for climate-related risk assessments and local forest management.
    Schlagwörter forest ; climate fluctuations ; divergent response ; complex terrain ; random forest model ; MODIS-EVI ; Science ; Q
    Thema/Rubrik (Code) 910
    Sprache Englisch
    Erscheinungsdatum 2023-05-01T00:00:00Z
    Verlag MDPI AG
    Dokumenttyp Artikel ; Online
    Datenquelle BASE - Bielefeld Academic Search Engine (Lebenswissenschaftliche Auswahl)

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  5. Artikel ; Online: Research on Estimating and Evaluating Subtropical Forest Carbon Stocks by Combining Multi-Payload High-Resolution Satellite Data

    Yisha Du / Donghua Chen / Hu Li / Congfang Liu / Saisai Liu / Naiming Zhang / Jingwei Fan / Deting Jiang

    Forests, Vol 14, Iss 12, p

    2023  Band 2388

    Abstract: Forest carbon stock is an important indicator reflecting the structure of forest ecosystems and forest quality, and an important parameter for evaluating the carbon sequestration capacity and carbon balance of forests. It is of great significance to ... ...

    Abstract Forest carbon stock is an important indicator reflecting the structure of forest ecosystems and forest quality, and an important parameter for evaluating the carbon sequestration capacity and carbon balance of forests. It is of great significance to study forest carbon stock in the context of current global climate change. To explore the application ability of multi-loaded, high-resolution satellite data in the estimation of subtropical forest carbon stock, this paper takes Huangfu Mountain National Forest Park in Chuzhou City as the study area, extracts remote sensing features such as spectral features, texture features, backscattering coefficient, and other remote sensing features based on multi-loaded, high-resolution satellite data, and carries out correlation analyses with the carbon stock of different species of trees and different age groups of forests. Regression models for different tree species were established for different data sources, and the optimal modeling factors for multi-species were determined. Then, three algorithms, namely, multiple stepwise regression, random forest, and gradient-enhanced decision tree, were used to estimate carbon stocks of multi-species, and the predictive ability of different estimation models on carbon stocks was analyzed using the coefficient of determination (R 2 ) and the root mean square error (RMSE) as indexes. The following conclusions were drawn: for the feature factors, the texture features of the GF-2 image, the new red edge index of the GF-6 image, the radar intensity coefficient sigma, and radar brightness coefficient beta of the GF-3 image have the best correlation with the carbon stock; for the algorithms, the random forest and gradient-boosting decision tree have the better effect of fitting and predicting the carbon stock of multi-tree species, among which gradient-boosting decision tree has the best effect, with an R 2 of 0.902 and an RMSE of 10.261 t/ha. In summary, the combination of GF-2, GF-3, and GF-6 satellite data and gradient-boosting decision ...
    Schlagwörter carbon storage ; GF satellites ; random forests ; the gradient promotion decision tree ; Plant ecology ; QK900-989
    Thema/Rubrik (Code) 333
    Sprache Englisch
    Erscheinungsdatum 2023-12-01T00:00:00Z
    Verlag MDPI AG
    Dokumenttyp Artikel ; Online
    Datenquelle BASE - Bielefeld Academic Search Engine (Lebenswissenschaftliche Auswahl)

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  6. Artikel ; Online: A Bibliometric Analysis of the Development of ICD-11 in Medical Informatics

    Donghua Chen / Runtong Zhang / Hongmei Zhao / Jiayi Feng

    Journal of Healthcare Engineering, Vol

    2019  Band 2019

    Abstract: The International Classification of Diseases (ICD), which is used to group and report health conditions and factors, provides a basis for healthcare statistics. The 11th revision of the ICD (ICD-11) released by the World Health Organization provides ... ...

    Abstract The International Classification of Diseases (ICD), which is used to group and report health conditions and factors, provides a basis for healthcare statistics. The 11th revision of the ICD (ICD-11) released by the World Health Organization provides stakeholders with novel perspectives on solving the complexity of critical problems in medical informatics. This study conducts a bibliometric analysis of research published over the period of 1989–2018 to examine the development of ICD-related research and its trends. First, over 4000 ICD-related papers spanning the 30-year period are retrieved from the Web of Science database. Then, based on the meta data of the selected papers, time trend analysis is performed to examine the development of different ICD revisions. Finally, the keywords and topics of these papers are analyzed and visualized using VOSViewer and CiteSpace. Our findings indicate that ICD-11-related research has grown rapidly in recent years compared with studies on ICD-9 and ICD-10. Moreover, the most popular research directions of ICD-11 include the topics psychiatry, psychology, information science, library science, and behavioral science. In terms of perspectives, information system-related research is more common than big data- and knowledge discovery-related work. However, the popularity of big data- and knowledge discovery-related developments has grown in recent years. The use of ICD-11 facilitates the development of medical informatics from the perspectives of information systems, big data, and knowledge discovery.
    Schlagwörter Medicine (General) ; R5-920 ; Medical technology ; R855-855.5
    Thema/Rubrik (Code) 001
    Sprache Englisch
    Erscheinungsdatum 2019-01-01T00:00:00Z
    Verlag Hindawi Limited
    Dokumenttyp Artikel ; Online
    Datenquelle BASE - Bielefeld Academic Search Engine (Lebenswissenschaftliche Auswahl)

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  7. Artikel ; Online: A Text Structuring Method for Chinese Medical Text Based on Temporal Information

    Runtong Zhang / Fuzhi Chu / Donghua Chen / Xiaopu Shang

    International Journal of Environmental Research and Public Health, Vol 15, Iss 3, p

    2018  Band 402

    Abstract: Chinese Electronic Medical Records (EMRs) contains a large number of complex medical free text which includes a variety of information, such as temporal information, patients’ symptoms and laboratory data. However, as an important knowledge base, these ... ...

    Abstract Chinese Electronic Medical Records (EMRs) contains a large number of complex medical free text which includes a variety of information, such as temporal information, patients’ symptoms and laboratory data. However, as an important knowledge base, these unstructured text data in EMR are hard to process directly by computer to support further medical research. This paper proposes a novel text structuring method to extract knowledge from EMR texts and reorganize them in chronological order according to the temporal information in the text. By implementing some entropy-based algorithms as contrast, experiments evaluate the performance of the proposed method, which indicates the new method can significantly reduce the complexity of EMR text. This work is significant in structuring the EMR free text into temporal-structured data for further medical analysis.
    Schlagwörter electronic medical records ; temporal information ; text structuring method ; Chinese ; information entropy ; Medicine ; R
    Thema/Rubrik (Code) 006
    Sprache Englisch
    Erscheinungsdatum 2018-02-01T00:00:00Z
    Verlag MDPI AG
    Dokumenttyp Artikel ; Online
    Datenquelle BASE - Bielefeld Academic Search Engine (Lebenswissenschaftliche Auswahl)

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  8. Artikel ; Online: Leveraging Shannon Entropy to Validate the Transition between ICD-10 and ICD-11

    Donghua Chen / Runtong Zhang / Xiaomin Zhu

    Entropy, Vol 20, Iss 10, p

    2018  Band 769

    Abstract: This study aimed to propose a mapping framework with entropy-based metrics for validating the effectiveness of the transition between International Classification of Diseases 10th revision (ICD-10)-coded datasets and a new context of ICD-11. Firstly, we ... ...

    Abstract This study aimed to propose a mapping framework with entropy-based metrics for validating the effectiveness of the transition between International Classification of Diseases 10th revision (ICD-10)-coded datasets and a new context of ICD-11. Firstly, we used tabular lists and mapping tables of ICD-11 to establish the framework. Then, we leveraged Shannon entropy to propose validation methods to evaluate information changes during the transition from the perspectives of single-code, single-disease, and multiple-disease datasets. Novel metrics, namely, standardizing rate (SR), uncertainty rate (UR), and information gain (IG), were proposed for the validation. Finally, validation results from an ICD-10-coded dataset with 377,589 records indicated that the proposed metrics reduced the complexity of transition evaluation. The results with the SR in the transition indicated that approximately 60% of the ICD-10 codes in the dataset were unable to map the codes to standard ICD-10 codes released by WHO. The validation results with the UR provided 86.21% of the precise mapping. Validation results of the IG in the dataset, before and after the transition, indicated that approximately 57% of the records tended to increase uncertainty when mapped from ICD-10 to ICD-11. The new features of ICD-11 involved in the transition can promote a reliable and effective mapping between two coding systems.
    Schlagwörter ICD-11 ; ICD-10 ; Shannon entropy ; validation ; transition ; Science ; Q ; Astrophysics ; QB460-466 ; Physics ; QC1-999
    Thema/Rubrik (Code) 690
    Sprache Englisch
    Erscheinungsdatum 2018-10-01T00:00:00Z
    Verlag MDPI AG
    Dokumenttyp Artikel ; Online
    Datenquelle BASE - Bielefeld Academic Search Engine (Lebenswissenschaftliche Auswahl)

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  9. Artikel ; Online: Determination of the Binding Parameters between Proteins and Luminol by Chemiluminescence Using Flow Injection Technique

    Jie Guo / Donghua Chen / Zhenghua Song

    ISRN Analytical Chemistry, Vol

    2013  Band 2013

    Schlagwörter Analytical chemistry ; QD71-142
    Sprache Englisch
    Erscheinungsdatum 2013-01-01T00:00:00Z
    Verlag Hindawi Publishing Corporation
    Dokumenttyp Artikel ; Online
    Datenquelle BASE - Bielefeld Academic Search Engine (Lebenswissenschaftliche Auswahl)

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  10. Artikel: The effect of large or small furnished cages on behaviors and tibia bone of laying hens

    Meng, Fanyu / Donghua Chen / Jianhong Li / Jun Bao / Xiang Li

    Journal of veterinary behavior. 2017 Jan., Feb., v. 17

    2017  

    Abstract: This study aimed to investigate the effects of large furnished cages (LFCs) or small furnished cages (SFCs) on behavior and tibia bone of laying hens. Three hundred and sixty Hyline brown hens at 16 weeks of age were allocated into 3 treatments with 6 ... ...

    Abstract This study aimed to investigate the effects of large furnished cages (LFCs) or small furnished cages (SFCs) on behavior and tibia bone of laying hens. Three hundred and sixty Hyline brown hens at 16 weeks of age were allocated into 3 treatments with 6 replicates: LFCs, SFCs, and conventional cages (CCs). The experiment was started at 18 weeks of age and finished at 34 weeks of age. The behaviors of focal animals were observed during 3 periods of 08:00-10:00, 13:00-14:00, and 16:00-17:00 on Wednesday in 20th, 24th, 28th, and 32nd week of age. Tibia bones were sampled and measured for tibia weight, length, density, and strength were measured. The results showed that walking behavior of LFC hens was significantly higher (P < 0.05) than CC hens. Standing and lying behavior for the hens in LFC was significantly more frequent than for those in SFC and CC (P < 0.05). Dust bathing and perching behavior in LFC was significantly more frequent than in SFC (P < 0.05). The hens in LFC performed significantly more comfort, drinking, preening, and fighting behavior than the SFC and CC hens (P < 0.05). Sand pecking was found to be significantly more frequent in LFC than SFC (P < 0.05). No significant effect was found on pecking by types of cages (P = 0.20). Tibia strength of the hens in LFC and SFC was significantly greater than CC (P < 0.05). Tibia weight in LFC was found to be significantly lower than SFC (P < 0.05). However, no significant effect was found on tibia density and tibia length by the types of cage (P = 0.53 and P = 0.33). The use of perches by the LFC hens was significantly higher than for the SFC hens (P < 0.05). In conclusion, LFC-allowed hens show more behaviors and had stronger or heavier tibias than the SFC and CC hens.
    Schlagwörter cages ; drinking ; dust bathing ; fighting behavior ; laying hens ; pecking ; preening ; sand ; tibia ; walking
    Sprache Englisch
    Erscheinungsverlauf 2017-01
    Umfang p. 69-73.
    Erscheinungsort Elsevier Inc.
    Dokumenttyp Artikel
    ISSN 1558-7878
    DOI 10.1016/j.jveb.2016.09.001
    Datenquelle NAL Katalog (AGRICOLA)

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