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Search: WFRF:(Radua J) > (2017)

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  • Petrov, Dmitry, et al. (author)
  • Machine Learning for Large-Scale Quality Control of 3D Shape Models in Neuroimaging
  • 2017
  • In: Machine learning in medical imaging. MLMI (Workshop). - Cham : Springer International Publishing. ; 10541, s. 371-378
  • Journal article (peer-reviewed)abstract
    • As very large studies of complex neuroimaging phenotypes become more common, human quality assessment of MRI-derived data remains one of the last major bottlenecks. Few attempts have so far been made to address this issue with machine learning. In this work, we optimize predictive models of quality for meshes representing deep brain structure shapes. We use standard vertex-wise and global shape features computed homologously across 19 cohorts and over 7500 human-rated subjects, training kernelized Support Vector Machine and Gradient Boosted Decision Trees classifiers to detect meshes of failing quality. Our models generalize across datasets and diseases, reducing human workload by 30-70%, or equivalently hundreds of human rater hours for datasets of comparable size, with recall rates approaching inter-rater reliability.
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  • Radua, J, et al. (author)
  • Meta-Analysis of the Risk of Subsequent Mood Episodes in Bipolar Disorder
  • 2017
  • In: Psychotherapy and psychosomatics. - : S. Karger AG. - 1423-0348 .- 0033-3190. ; 86:2, s. 90-98
  • Journal article (peer-reviewed)abstract
    • <b><i>Background:</i></b> Reported relapse and recurrence rates in bipolar disorder (BD) differ significantly between studies. Most data originate from highly selective patients participating in sponsored randomized controlled trials with narrow inclusion criteria. To estimate the true risk of a subsequent mood episode (SME) under real-world conditions, we conducted a meta-analysis of rates of SME as reported in naturalistic BD studies. <b><i>Methods:</i></b> PubMed, ScienceDirect, Scopus, and Web of Knowledge were searched until July 2015. Studies reporting the time until the emergence of an SME, from which individual data or Kaplan-Meier plots with censors marked could be retrieved, were included. <b><i>Results:</i></b> Twelve studies comprising 5,837 patients met the inclusion criteria. The median time to an SME in adults after an index episode was 1.44 years. The risk of an SME was 44% during the first year. Not having a SME during this first year lowered this risk to 19% in the second year. The risk was higher in bipolar II disorder (BD-II) than in bipolar I disorder (BD-I; HR = 1.5). In BD-I, the risk of a subsequent manic, mixed, or depressive mood episode was higher after an index episode of the same polarity (HR = 1.89-5.14). The overall risk of an SME was higher in patients with persisting subsyndromal symptoms (HR = 2.17). <b><i>Conclusions:</i></b> The data from this study provide a more reliable estimate of the risk of an SME in BD in real-world settings. Further research into the longitudinal course of BD-II is warranted to confirm its role as a risk factor for SME.
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  • Result 1-17 of 17

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