959 resultados para Classification Automatic Modulation. Correntropy. Radio Cognitive
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c. 2
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Text classification, information filtering, semi-supervised learning, quality control
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Fuzzy classification, semi-supervised learning, data mining
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Magdeburg, Univ., Fak. für Naturwiss., Diss., 2011
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Magdeburg, Univ., Fak. für Naturwiss., Diss., 2012
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Magdeburg, Univ., Fak. für Naturwiss., Diss., 2012
Validation of the Killip-Kimball Classification and Late Mortality after Acute Myocardial Infarction
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Background: The classification or index of heart failure severity in patients with acute myocardial infarction (AMI) was proposed by Killip and Kimball aiming at assessing the risk of in-hospital death and the potential benefit of specific management of care provided in Coronary Care Units (CCU) during the decade of 60. Objective: To validate the risk stratification of Killip classification in the long-term mortality and compare the prognostic value in patients with non-ST-segment elevation MI (NSTEMI) relative to patients with ST-segment elevation MI (STEMI), in the era of reperfusion and modern antithrombotic therapies. Methods: We evaluated 1906 patients with documented AMI and admitted to the CCU, from 1995 to 2011, with a mean follow-up of 05 years to assess total mortality. Kaplan-Meier (KM) curves were developed for comparison between survival distributions according to Killip class and NSTEMI versus STEMI. Cox proportional regression models were developed to determine the independent association between Killip class and mortality, with sensitivity analyses based on type of AMI. Results: The proportions of deaths and the KM survival distributions were significantly different across Killip class >1 (p <0.001) and with a similar pattern between patients with NSTEMI and STEMI. Cox models identified the Killip classification as a significant, sustained, consistent predictor and independent of relevant covariables (Wald χ2 16.5 [p = 0.001], NSTEMI) and (Wald χ2 11.9 [p = 0.008], STEMI). Conclusion: The Killip and Kimball classification performs relevant prognostic role in mortality at mean follow-up of 05 years post-AMI, with a similar pattern between NSTEMI and STEMI patients.
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Background: Coronary artery bypass graft (CABG) is a standard surgical option for patients with diffuse and significant arterial plaque. This procedure, however, is not free of postoperative complications, especially pulmonary and cognitive disorders. Objective: This study aimed at comparing the impact of two different physiotherapy treatment approaches on pulmonary and cognitive function of patients undergoing CABG. Methods: Neuropsychological and pulmonary function tests were applied, prior to and following CABG, to 39 patients randomized into two groups as follows: Group 1 (control) - 20 patients underwent one physiotherapy session daily; and Group 2 (intensive physiotherapy) - 19 patients underwent three physiotherapy sessions daily during the recovery phase at the hospital. Non-paired and paired Student t tests were used to compare continuous variables. Variables without normal distribution were compared between groups by using Mann-Whitney test, and, within the same group at different times, by using Wilcoxon test. The chi-square test assessed differences of categorical variables. Statistical tests with a p value ≤ 0.05 were considered significant. Results: Changes in pulmonary function were not significantly different between the groups. However, while Group 2 patients showed no decline in their neurocognitive function, Group 1 patients showed a decline in their cognitive functions (P ≤ 0.01). Conclusion: Those results highlight the importance of physiotherapy after CABG and support the implementation of multiple sessions per day, providing patients with better psychosocial conditions and less morbidity.
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Magdeburg, Univ., Fak. für Informatik, Habil.-Schr., 2006
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Anorexie, fMRT, Nahrung, Hunger, Sattheit
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Performance monitoring, ERN, CRN, Pe, Memory, Llist learning, Emotion, IAPS, N2, Reinforcement Learning Hypothesis, Conflict Monitoring Hypothesis
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Magdeburg, Univ., Fak. für Elektrotechnik und Informationstechnik, Diss., 2007
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Social intelligence
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Magdeburg, Univ., Fak. für Naturwiss., Diss., 2008
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Magdeburg, Univ., Fak. für Natuwiss., Diss., 2009