Search results for "RECURRENT"
showing 6 items of 256 documents
Wirbelsäulenmanifestationen der chronischen rekurrierenden multifokalen Osteomyelitis (CRMO)
2002
Chronic recurrent multifocal osteomyelitis (CRMO) is a systemic osteo-articular disease that is characterized by a sterile, primarily chronic osteomyelitis with various distribution patterns of the individual lesions. In this article, we describe the "axial type" with predominant involvement of the spine, which represents 13 of our 41 CRMO cases of different age groups. The important element of its diagnosis is the typical lympho-plasmacellular spondylitis that can be detected and staged by scintigraphy, MRI and conventional radiography. Potentially affected are all vertebrae from the mid-cervical spine to the sacrum. One or several segments can be involved, sometimes as transient inflammat…
Fourth case of louse-borne relapsing fever in Young Migrant, Sicily, Italy, December 2015. Mini Review Article
2016
Abstract Objectives Currently louse-borne relapsing fever (LBRF) is primarily found in limited endemic foci in Ethiopia, Somalia and Sudan; no case of imported LBRF has been reported in Europe in the 9 years prior to 2015. The aim of our paper is to describe a new case of imported LBRF detected in Sicily, Italy, and to review all cases reported in migrants arrived in Europe in the last 10 years. Study design Mini review of all published cases of louse-borne relapsing fever in Europe in the last 10 years. Methods A computerized search without language restriction was conducted using PubMed combining the terms ‘(louse-borne relapsing fever or LBRF or recurrentis) and (refugee or Europe or mig…
Machine Learning Models for Measuring Syntax Complexity of English Text
2019
In this paper we propose a methodology to assess the syntax complexity of a sentence representing it as sequence of parts-of-speech and comparing Recurrent Neural Networks and Support Vector Machine. We have carried out experiments in English language which are compared with previous results obtained for the Italian one.
Partnership formation and dissolution over the life course: applying sequence analysis and event history analysis in the study of recurrent events
2015
We present two types of approach to the analysis of recurrent events for discretely measured data, and show how these methods can complement each other when analysing co-residential partnership histories. Sequence analysis is a descriptive tool that gives an overall picture of the data and helps to find typical and atypical patterns in histories. Event history analysis is used to make conclusions about the effects of covariates on the timing and duration of the partnerships. As a substantive question, we studied how family background and childhood socio-emotional characteristics were related to later partnership formation and stability in a Finnish cohort born in 1959. We found that high se…
Recurrent lumbar disc herniation: Is there a correlation with the surgical technique? A multivariate analysis
2019
Purpose: The recurrence of a lumbar disc herniation (LDH) is a common cause of poor outcome following lumbar discectomy. The aim of this study was to assess a potential relationship between the incidence of recurrent LDH and the surgical technique used. Furthermore, we tried to define the best surgical technique for the treatment of recurrent LDH to limit subsequent recurrences. Materials and Methods: A retrospective study was conducted on 979 consecutive patients treated for LDH. A multivariate analysis tried to identify a possible correlation between (1) the surgical technique used to treat the primary LDH and its recurrence; (2) technique used to treat the recurrence of LDH and the secon…
Modelling Recurrent Events for Improving Online Change Detection
2016
The task of online change point detection in sensor data streams is often complicated due to presence of noise that can be mistaken for real changes and therefore affecting performance of change detectors. Most of the existing change detection methods assume that changes are independent from each other and occur at random in time. In this paper we study how performance of detectors can be improved in case of recurrent changes. We analytically demonstrate under which conditions and for how long recurrence information is useful for improving the detection accuracy. We propose a simple computationally efficient message passing procedure for calculating a predictive probability distribution of …