Results 141 to 150 of about 197 (183)

Impact of Asymptomatic Intracranial Hemorrhage on Outcome After Endovascular Stroke Treatment

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Background Endovascular treatment (EVT) achieves high rates of recanalization in acute large‐vessel occlusion (LVO) stroke, but functional recovery remains heterogeneous. While symptomatic intracranial hemorrhage (sICH) has been well studied, the prognostic impact of asymptomatic intracranial hemorrhage (aICH) after EVT is less certain ...
Shihai Yang, Chengsong Yue, Zhuang Li, Xiaolei Shi, Haoxuan Zhu, Jie Yang, Linyu Li, Jiaxing Song, Shitao Fan, Gaoming Li, Wenzhe Sun, Zhixian Ye, Jiacheng Huang, Dahong Yang, Jinfu Ma, Xu Xu, Zhixi Wang, Lilan Wang, Guojian Liu, Fengli Li, Changwei Guo, Li Qi, Wenjie Zi   +22 more
wiley   +1 more source

Value of MRI Outcomes for Preventive and Early‐Stage Trials in Spinocerebellar Ataxias 1 and 3

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective To examine the value of MRI outcomes as endpoints for preventive and early‐stage trials of two polyglutamine spinocerebellar ataxias (SCAs). Methods A cohort of 100 participants (23 SCA1, 63 SCA3, median Scale for the Assessment and Rating of Ataxia (SARA) score = 5, 42% preataxic, and 14 gene‐negative controls) was scanned at 3T up ...
Thiago J. R. Rezende, Emilien Petit, Young Woo Park, Sophie Tezenas du Montcel, James M. Joers, Jonathan M. DuBois, H. Moore Arnold, Michal Povazan, Ipek Özdemir, Guita Banan, Romain Valabregue, Philipp Ehses, Jennifer Faber, Chiadi U. Onyike, Peter B. Barker, Jeremy D. Schmahmann, Eva‐Maria Ratai, Sub H. Subramony, Thomas H. Mareci, Khalaf O. Bushara, Henry Paulson, Thomas Klockgether, Alexandra Durr, Tetsuo Ashizawa, Christophe Lenglet, Gülin Öz, READISCA Investigators   +26 more
wiley   +1 more source

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Closed Multidimensional Sequential Pattern Mining

Third International Conference on Information Technology: New Generations (ITNG'06), 2006
We propose a new method, called closed multidimensional sequential pattern mining, for mining multidimensional sequential patterns. The new method is an integration of closed sequential pattern mining and closed itemset pattern mining. Based on this method, we show that (1) the number of complete closed multidimensional sequential patterns is not ...
Panida Songram, Veera Boonjing, Sarun Intakosum   +2 more
exaly   +2 more sources

Efficient Algorithms for Mining Closed Multidimensional Sequential Patterns

Fourth International Conference on Fuzzy Systems and Knowledge Discovery (FSKD 2007), 2007
A combination of closed sequential pattern mining and closed itemset pattern mining was proposed to mine closed multidimensional sequential patterns. There are two ways for this combination; (1) mining closed itemset patterns from multidimensional information followed by mining closed sequential patterns from sequences associated with closed itemset ...
Veera Boonjing
exaly   +2 more sources

Closed multidimensional sequential pattern mining

International Journal of Knowledge Management Studies, 2008
We propose a new method, called closed multidimensional sequential pattern mining, for mining multidimensional sequential patterns. The new method is an integration of closed sequential pattern mining and closed itemset pattern mining. This integration is performed in two approaches: mining closed itemset patterns followed by mining closed sequential ...
Panida Songram, Veera Boonjing
exaly   +2 more sources

A Parallel Mining Algorithm for Closed Sequential Patterns

21st International Conference on Advanced Information Networking and Applications Workshops (AINAW'07), 2007
Mining closed sequential patterns is an important data mining task with broad applications, the large dataset acquires us to use the parallel technique to solve the problems in data mining. A new parallel algorithm named Par-ClosP is introduced in this paper. It partitions the task to each processor, reduces the communication among the processors, uses
Tian Zhu, Sixue Bai
exaly   +2 more sources

Mining Weighted Closed Sequential Patterns in Large Databases

2008 Fifth International Conference on Fuzzy Systems and Knowledge Discovery, 2008
Previous algorithms mine the complete set of sequential patterns in large database efficiently, but when mining long sequential patterns in dense databases or using low minimum supports, it may produce many redundant patterns and some uninterested patterns. In this paper, a novel weighted closed sequential pattern mining algorithm (WCSpan) is presented,
Jia-Dong Ren
exaly   +2 more sources

Mining closed sequential patterns using genetic algorithm

2014 IEEE International Conference on Advanced Communications, Control and Computing Technologies, 2014
Closed sequential pattern mining is an important data mining task because it produces more compact result set and it is more efficient than sequential pattern mining. In general closed sequential patterns are generated from large data sets by applying algorithms like CloSpan and BIDE which require more execution time to compute all the closed ...
V Purushothama Raju, G P S Varma
exaly   +2 more sources

SeqStream: Mining Closed Sequential Patterns over Stream Sliding Windows

2008 Eighth IEEE International Conference on Data Mining, 2008
Previous studies have shown mining closed patterns provides more benefits than mining the complete set of frequent patterns, since closed pattern mining leads to more compact results and more efficient algorithms. It is quite useful in a data stream environment where memory and computation power are major concerns.
Lei Chang, Hua Luan
exaly   +2 more sources

An approach for mining weighted closed sequential patterns

2014 First International Conference on Networks & Soft Computing (ICNSC2014), 2014
V Purushothama Raju, G P S Varma
exaly   +2 more sources