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12 results
  1. ... mathematical structure; explain and justify structural assumptions and computational approximations. The preferred model structure depends on the ... of Results Be transparent about the model structure, computational implementation, and data. Report results clearly and in ...
  2. ... Smoot M, et al. Fast statistical alignment. PLoS Computational Biology. 2009 May; 5 (5):e1000392. Off topic . [ ... for EEG-based brain-computer interface. Journal of Computational Neuroscience. 2009 Dec; 27 (3):357–68. Off ...
  3. ... JP, Prud’hommeaux ET, Black LM, et al. Computational prosodic markers for autism. Autism: The International Journal ... Ceritoglu C, Tang X, Chow M, et al. Computational analysis of LDDMM for brain mapping. Front Neurosci. ...
  4. ... e.g., names reported differently over time). Surveillance, Epidemiology and End Results (SEER)-Medicare Algorithm /* INITIATE SEER- ...
  5. ... Kinematics for the Diagnosis of Alzheimer’s Disease. Computational Intelligence & Neuroscience. 2016;2016:3891253. PMID: 28074090 Index ... of Alzheimer’s Disease and Mild Cognitive Impairment. Computational Intelligence & Neuroscience. 2015;2015:865265. PMID: 26101520 Index ...
  6. ... nbic.nl/copub/portal/ FR 0 1 NA Computational Drug Discovery Group of Radboud University Nijmegen Medical ... cms/?page_id=4 FR 0 1 NA Computational Biology and Data Mining group, Miguel Andrade-Navarro, ...
  7. ... 86 The project uses text mining, epidemiological, and computational techniques to analyze electronic health records, with the ... by indication and other biases often plague clinical epidemiology, 3 , 23 even in the era of comparative ...
  8. ... early in drug discovery, and the use of computational models ( Figure 2 in article). At bottom, however, ... This article is based on findings from comparative epidemiology, which frequently compares human and animal populations. The ...
  9. ... the tools are still in existence. Using different computational approaches, such as pattern matching and Bayesian probabilities, ... Abujudeh HH. Understanding and confronting our mistakes: the epidemiology of error in radiology and strategies for error ...
  10. ... 100). 3. Model Data Sources and Parameters A computational model with the degree of detail contained within ... for each cancer category were estimated from Surveillance, Epidemiology, and End Results (SEER) data using SEER*Stat ...
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