Translate-NAMSE and DASNE-novel expertise based networks for patients with rare neurological diseases

Pauly Martje; Ripke Annekatrin; Baumer Tobias; Munchau Alexander

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Translate-NAMSE and DASNE-novel expertise based networks for patients with rare neurological diseases

机译：罕见神经系统疾病患者的翻译-Namse和Dasne-新颖的基于专业网络

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来源
《Journal of neural transmission》 |2019年第5期|共1页
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Pauly Martje; Ripke Annekatrin; Baumer Tobias; Munchau Alexander;
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中图分类人体形态学;
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1. Translate-NAMSE and DASNE-novel expertise based networks for patients with rare neurological diseases [J] . Pauly Martje, Ripke Annekatrin, Baumer Tobias, Journal of neural transmission . 2019,第5期

机译：罕见神经系统疾病患者的翻译-Namse和Dasne-新颖的基于专业网络
2. Research performance of centers of expertise for rare diseases-The influence of network integration, internal resource access and operational experience [J] . Hannemann-WeberH., KesselM., SchultzC. Health policy . 2012,第2a3期

机译：罕见病专业知识中心的研究业绩-网络整合，内部资源访问和运营经验的影响
3. Rare neurological channelopathies - networks to study patients, pathogenesis and treatment [J] . Jen Joanna C., Ashizawa Tetsuo, Griggs Robert C., Nature reviews. Neurology . 2016,第4期

机译：罕见的神经系统疾病-研究患者，发病机制和治疗方法的网络
4. COMPLEXITY OF MOLECULAR SIGNALING NETWORKS FOR VARIOUS TYPES OF CANCER AND NEUROLOGICAL DISEASES CORRELATES WITH PATIENT SURVIVABILITY [C] . D. BREITKREUTZ, E. A. RIETMAN, P. HINOW, International Symposium on Mathematical and Computational Biology . 2014

机译：各种类型的癌症和神经疾病的分子信令网络的复杂性与患者生存性相关联
5. Identification of Disease Genes in Rare Neurological Conditions [D] . Engvall, Martin. 2021

机译：罕见神经疾病中疾病基因的鉴定
6. Research priorities for rare neurological diseases: a representative view of patient representatives and healthcare professionals from the European Reference Network for Rare Neurological Diseases [O] . Annemarie E. M. Post, Thomas Klockgether, G. Bernhard Landwehrmeyer, 2021

机译：罕见神经疾病的研究优先事项：来自欧洲参考网络的患者代表和医疗保健专业人员对罕见神经疾病的代表性观点
7. We develop a model of scientific creativity and test it in the field of rare diseases. Our model is based on the results of an in-depth case study of the Rett syndrome. Archival analysis, bibliometric techniques and expert surveys are combined with network analysis to identify the most creative scientists. First, alternative measures of generative and combinatorial creativity are compared. Then, we generalize our results and present a stochastic model of socio-semantic network evolution. The model predictions are tested with multiple networks of rare disease specialties. We find that new scientific collaborations among experts in a field enhance combinatorial creativity. Instead, high entry rates of novices are negatively related to generative creativity. By extending the set of useful concepts, creative scientists gain in centrality. At the same time, by increasing their centrality in the scientific community, scientists can replicate and generalize their results, thus contributing to a scientific paradigm. [O] . Massimo Riccaboni, Maria Laura Frigotto 100

机译：我们开发了一种科学创造力模型，并在稀有疾病领域进行测试。我们的模型基于对Rett综合征的深入案例研究的结果。档案分析，文献计量技术和专家调查与网络分析相结合，以确定最具创造力的科学家。首先，比较生成和组合创造力的替代措施。然后，我们推广了我们的结果，并提出了社会语义网络演化的随机模型。模型预测用多个罕见疾病专业网络进行测试。我们发现，一个领域的专家之间的新的科学合作增强了组合创造力。相反，新手的高入门率与生成创造力负相关。通过扩展这组有用的概念，创造性的科学家获得了中心地位。同时，通过增加科学界的中心地位，科学家们可以复制和推广他们的结果，从而促进科学范式的发展。

Translate-NAMSE and DASNE-novel expertise based networks for patients with rare neurological diseases

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