Results 51 to 60 of about 48,693 (258)
Implementation of a big data anonymization system based on Spark
Dianxin kexue, 2018 Group based anonymization is a classical data anonymization framework,which achieves the effect of privacy protection by constructing groups of anonymized data records ensuring that records in the same group cannot be distinguished with each other.The ...
Chaoyi BIAN, Shaomin ZHU, Tao ZHOU
doaj +2 more sources
Data Science Journal, 2012 In this article, the authors suggest that one method for increasing awareness of the benefits of data sharing can be affected by administering a survey, hopefully encouraging either a minority or majority influence on other members of the behavioural science community. The authors describe the process for creating such a survey and provide their survey,
openaire +3 more sources
Effects of Biological Sex and Age on Cerebrospinal Fluid Markers—A Retrospective Observational Study
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Objective Cerebrospinal fluid (CSF) analysis is a key diagnostic tool for neurological diseases. To date, only a few studies have investigated in larger cohorts the effect of age and biological sex on diagnostic markers extracted from CSF. Methods For this retrospective observational study, 4163 CSF findings (2012–2020) were evaluated.
Isabel‐Sophie Hafer +3 more
wiley +1 more source
BUDAMAF: Data Management in Cloud Federations
, 2018 Data management has always been a multi-domain problem even in the simplest cases. It involves, quality of service, security, resource management, cost management, incident identification, disaster avoidance and/or recovery, as well as many other ...
Anagnostopoulos, Dimosthenis +3 more
core +1 more source
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Background SOX1 antibody‐positive paraneoplastic neurological syndromes (PNS) exhibit significant population‐specific clinical heterogeneity. While Western cohorts predominantly manifest Lambert‐Eaton myasthenic syndrome (65%–80%), comprehensive clinical characterization and treatment response data in Asian populations remain critically ...
Jin‐Long Ye +11 more
wiley +1 more source
ANONYMIZATION OF PERSONAL MEDICAL DATA BASED ON ARTIFICIAL INTELLIGENCE [PDF]
Problems of Information SocietyThe widespread digitalization of healthcare has led to the accumulation of substantial volumes of personal medical data, creating new opportunities for enhancing the quality of medical care, supporting informed clinical decision-making, and ...
Ramiz Shikhaliyev
doaj +1 more source
Frontiers in Oncology, 2023 BackgroundDemand for head and neck cancer (HNC) radiotherapy data in algorithmic development has prompted increased image dataset sharing. Medical images must comply with data protection requirements so that re-use is enabled without disclosing patient ...
Jaakko Sahlsten +9 more
doaj +1 more source
, 2005 It is generally believed that data mining results do not violate the anonymity of the individuals recorded in the source database. In fact, data mining models and patterns, in order to ensure a required statistical significance, represent a large number of individuals and thus conceal individual identities: this is the case of the minimum support ...
ATZORI, MAURIZIO +3 more
openaire +7 more sources
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 +8 more
wiley +1 more source