Results 61 to 70 of about 24,103,638 (294)

In-Memory Data Anonymization Using Scalable and High Performance RDD Design

Electronics, 2020
Recent studies in data anonymization techniques have primarily focused on MapReduce. However, these existing MapReduce based approaches often suffer from many performance overheads due to their inappropriate use of data allocation, expensive disk I/O ...
S. Bazai, Julian Jang-Jaccard
semanticscholar   +1 more source

Brainstem and Cerebellar Volume Loss and Associated Clinical Features in Progressive Supranuclear Palsy

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Introduction Progressive Supranuclear Palsy (PSP) is a neurodegenerative ‘tauopathy’ with predominating pathology in the basal ganglia and midbrain. Caudal tau spread frequently implicates the cerebellum; however, the pattern of atrophy remains equivocal.
Chloe Spiegel, Timothy P. Siejka, Cassandra Marotta, Josh J. Y. Lee, Kelly Bertram, Terence J. O'Brien, Meng Law, Lucy Vivash, Ian H. Harding   +8 more
wiley   +1 more source

CX3CL1 in Early Detection of Alzheimer's Disease: Plasma Dynamics Across Age and Disease Stages

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Backgrounds Alzheimer's disease (AD) is characterized by amyloid‐beta plaques, tau tangles, and neuroinflammation. C‐X3‐C motif chemokine ligand 1 (CX3CL1, also known as fractalkine), a neuroimmune chemokine implicated in AD pathogenesis, shows inconsistent alterations in plasma/serum across studies.
Ling Wang, Yujie Liu, Fei Li, Xuelin Li, Lanlan Li, Jie Zhang, Yali Xu   +6 more
wiley   +1 more source

Geolocation with respect to personal privacy for the Allergy Diary app - a MASK study

World Allergy Organization Journal, 2018
Background Collecting data on the localization of users is a key issue for the MASK (Mobile Airways Sentinel networK: the Allergy Diary) App. Data anonymization is a method of sanitization for privacy.
D. Samreth, S. Arnavielhe, F. Ingenrieth, A. Bedbrook, G. L. Onorato, R. Murray, R. Almeida, M. A. Mizani, J. Fonseca, E. Costa, J. Malva, M. Morais-Almeida, A. M. Pereira, A. Todo-Bom, E. Menditto, C. Stellato, M. T. Ventura, D. Larenas-Linnemann, J-M. Fuentes-Pérez, Y. R. Huerta-Villalobos, A. A. Cruz, R. Stelmach, J. da Silva, R. Emuzyte, V. Kvedariene, A. Valiulis, I. Annesi-Maesano, I. Bosse, P. Demoly, P. Devillier, J. F. Fontaine, P. Kuna, B. Samolinski, L. Klimek, R. Mösges, O. Pfaar, S. Shamai, M. Bewick, D. Ryan, A. Sheikh, J. M. Anto, V. Cardona, J. Mullol, A. Valero, N. H. Chavannes, W. J. Fokkens, S. Reitsma, R. E. Roller-Wirnsberger, P. V. Tomazic, T. Haahtela, S. Toppila-Salmi, E. Valovirta, M. Makris, N. G. Papadopoulos, E. P. Prokopakis, F. Psarros, B. Gemicioğlu, A. Yorgancioglu, C. Bindslev-Jensen, E. Eller, I. Kull, M. Wickman, C. Bachert, P. W. Hellings, B. Pugin, S. Bosnic-Anticevich, R. E. O’Hehir, V. Kolek, M. Sova, K. Wehner, G. De Vries, M. van Eerd, D. Laune, J. Wittmann, J. Bousquet, P. Poncelet, the MASK study group   +76 more
doaj   +1 more source

Exploring the Utility of Anonymized EHR Datasets in Machine Learning Experiments in the Context of the MODELHealth Project

Applied Sciences, 2022
The object of this paper was the application of machine learning to a clinical dataset that was anonymized using the Mondrian algorithm. (1) Background: The preservation of patient privacy is a necessity rising from the increasing digitization of health ...
Stavros Pitoglou, Arianna Filntisi, Athanasios Anastasiou, George K. Matsopoulos, Dimitrios Koutsouris   +4 more
doaj   +1 more source

Analysis of Data Anonymization Techniques

International Conference on Knowledge Engineering and Ontology Development, 2020
: The privacy of personal data is a very important issue these days. How to process the data and use it for analysis without compromising the individual’s identity is a critical task and must be done in order to ensure the anonymity of this data.
Joana Ferreira Marques, Jorge Bernardino
semanticscholar   +1 more source

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

Comparison of anonymization techniques regarding statistical reproducibility.

PLOS Digital Health
BackgroundAnonymization opens up innovative ways of using secondary data without the requirements of the GDPR, as anonymized data does not affect anymore the privacy of data subjects.
David Pau, Camille Bachot, Charles Monteil, Laetitia Vinet, Mathieu Boucher, Nadir Sella, Romain Jegou   +6 more
doaj   +1 more source

Utilization of anonymization techniques to create an external control arm for clinical trial data

BMC Medical Research Methodology, 2023
Background Subject-level real-world data (RWD) collected during daily healthcare practices are increasingly used in medical research to assess questions that cannot be addressed in the context of a randomized controlled trial (RCT).
Juha Mehtälä, Mehreen Ali, Timo Miettinen, Liisa Partanen, Kaisa Laapas, Petri T. Niemelä, Igor Khorlo, Sanna Ström, Samu Kurki, Jarno Vapalahti, Khaled Abdelgawwad, Jussi V. Leinonen   +11 more
doaj   +1 more source