Results 31 to 40 of about 8,329 (263)

Building a best-in-class automated de-identification tool for electronic health records through ensemble learning

Patterns, 2021
Summary: The presence of personally identifiable information (PII) in natural language portions of electronic health records (EHRs) constrains their broad reuse.
Karthik Murugadoss, Ajit Rajasekharan, Bradley Malin, Vineet Agarwal, Sairam Bade, Jeff R. Anderson, Jason L. Ross, William A. Faubion, Jr., John D. Halamka, Venky Soundararajan, Sankar Ardhanari   +10 more
doaj   +1 more source

Pseudonymisation of neuroimages and data protection: Increasing access to data while retaining scientific utility

NeuroImage: Reports, 2021
For a number of years, facial features removal techniques such as ‘defacing’, ‘skull stripping’ and ‘face masking/blurring’, were considered adequate privacy preserving tools to openly share brain images.
Damian Eke, Ida E.J. Aasebø, Simisola Akintoye, William Knight, Alexandros Karakasidis, Ezequiel Mikulan, Paschal Ochang, George Ogoh, Robert Oostenveld, Andrea Pigorini, Bernd Carsten Stahl, Tonya White, Lyuba Zehl   +12 more
doaj   +1 more source

De-Anonymizing Users across Rating Datasets via Record Linkage and Quasi-Identifier Attacks

Data
The widespread availability of pseudonymized user datasets has enabled personalized recommendation systems. However, recent studies have shown that users can be de-anonymized by exploiting the uniqueness of their data patterns, raising significant ...
Nicolás Torres, Patricio Olivares
doaj   +1 more source

Effects of de-facing software mri_reface on utility of imaging biomarkers used in Alzheimer’s disease research

NeuroImage: Clinical, 2023
Brain imaging research studies increasingly use “de-facing” software to remove or replace facial imagery before public data sharing. Several works have studied the effects of de-facing software on brain imaging biomarkers by directly comparing automated ...
Christopher G. Schwarz, Walter K. Kremers, Stephen D. Weigand, Carl M. Prakaashana, Matthew L. Senjem, Scott A. Przybelski, Val J. Lowe, Jeffrey L. Gunter, Kejal Kantarci, Prashanthi Vemuri, Jonathan Graff-Radford, Ronald C. Petersen, David S. Knopman, Clifford R. Jack Jr.   +13 more
doaj   +1 more source

A face-off of MRI research sequences by their need for de-facing

NeuroImage, 2023
It is now widely known that research brain MRI, CT, and PET images may potentially be re-identified using face recognition, and this potential can be reduced by applying face-deidentification (“de-facing”) software.
Christopher G. Schwarz, Walter K. Kremers, Arvin Arani, Marios Savvides, Robert I. Reid, Jeffrey L. Gunter, Matthew L. Senjem, Petrice M. Cogswell, Prashanthi Vemuri, Kejal Kantarci, David S. Knopman, Ronald C. Petersen, Clifford R. Jack, Jr.   +12 more
doaj   +1 more source

Leukemia and Exposure to Potential Benzene Sources in Children From the Mexico City Metropolitan Area, 2010–2021: A Geospatial Analysis

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Background Leukemia is the most common childhood cancer in Mexico, and acute lymphoblastic leukemia (ALL) is the most frequent subtype. Exposure to high concentrations of benzene has been associated with ALL incidence, particularly in urban areas. This study evaluated the relationship between distance to benzene emission sources and the number
Orlando Rivera Zurita, Norma Candelaria López Santiago, Claudia Maria García Cuellar, Karla Maldonado Silva, Nancy Reynoso Noverón, Leticia Hernández Cadena   +5 more
wiley   +1 more source

Face recognition from research brain PET: An unexpected PET problem

NeuroImage, 2022
It is well known that de-identified research brain images from MRI and CT can potentially be re-identified using face recognition; however, this has not been examined for PET images. We generated face reconstruction images of 182 volunteers using amyloid,
Christopher G. Schwarz, Walter K. Kremers, Val J. Lowe, Marios Savvides, Jeffrey L. Gunter, Matthew L. Senjem, Prashanthi Vemuri, Kejal Kantarci, David S. Knopman, Ronald C. Petersen, Clifford R. Jack, Jr.   +10 more
doaj   +1 more source

Clinical, Histopathological, and Molecular Characterization of Pediatric MN1::ZNF341‐Associated Cancer

Pediatric Blood &Cancer, EarlyView.
ABSTRACT A lethal round‐cell malignancy with an MN1::ZNF341 fusion has recently been reported in three infants. Here, we describe four further tumors, three in newborns (including monozygotic twins), and one in an adolescent. Detailed clinical, radiological, and histopathological data differentiate these tumors from their main mimics, neuroblastoma and
Thomas R. W. Oliver, Dyanne Rampling, Barbara Walkowiak, Nathaniel D. Anderson, Manas Dave, Henry Lee‐Six, Sadie Baskind, Pooja Balasubramanian, Glenn Anderson, Conor Parks, Toochi Ogbonnah, Emilia R. Robertson, Simon Hannam, Rohan Verma, John C. Achermann, Liina Palm, Neil Sebire, Thomas Jacques, Tom Watson, Carryl Dryden, Karin Straathof, Mette Jorgensen, Olga Slater, Sam Behjati, Sarita Depani, J. Ciaran Hutchinson   +25 more
wiley   +1 more source

Animal‐Assisted Activities With Therapy Dogs in Pediatric Oncology: A Multicenter Survey of the Current Status, Implementation, and Challenges in Germany, Austria, and Switzerland

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Background Animal‐assisted activities (AAAs) with therapy dogs have shown positive effects on patient well‐being and quality of life in various areas of medicine, including pediatric oncology. However, research on this topic is limited. The aim of this study is to present the current status of AAA in pediatric oncology in Germany, Austria, and
Jan‐Marius Wedig, Birgit Burkhardt, Christof M. Kramm, Kira Ostermann, Sarah C. Goretzki, Uta Dirksen, Nico Kurpiers, Michael M. Schündeln   +7 more
wiley   +1 more source

Does $k$ -Anonymous Microaggregation Affect Machine-Learned Macrotrends?

IEEE Access, 2018
In the era of big data, the availability of massive amounts of information makes privacy protection more necessary than ever. Among a variety of anonymization mechanisms, microaggregation is a common approach to satisfy the popular requirement of k ...
Ana Rodriguez-Hoyos, Jose Estrada-Jimenez, David Rebollo-Monedero, Javier Parra-Arnau, Jordi Forne   +4 more
doaj   +1 more source