Record linkage without patient identifiers: Proof of concept using data from South Africa's national HIV program. by Khumbo Shumba, Jacob Bor, Cornelius Nattey, Dickman Gareta, Evelyn Lauren, William Macleod, Matthew P Fox, Adrian Puren, Koleka Mlisana, Dorina Onoya

“…Exact and caliper matching were validated using barcodes (available for 34% of records in TIER.Net) as a "gold standard". …”
Get full text

Framework for Addressing Imbalanced Data in Aviation with Federated Learning by Igor Kabashkin

“…The proposed framework provides a scalable and practical solution for using distributed aviation data while addressing both class imbalance and privacy concerns, contributing to improved safety and operational efficiency in the aviation industry.…”
Get full text

Dying in Darkness: Deviations From Data Sharing Ethics in the US Public Health System and the Data Genocide of American Indian and Alaska Native Communities by Cason D Schmit, Meghan Curry O’Connell, Sarah Shewbrooks, Charles Abourezk, Fallon J Cochlin, Megan Doerr, Hye-Chung Kum

“…Good governance practices like transparent data practices and the establishment of a social license (ie, the informal permission of a community to collect and use data) is essential to ethically balancing collective well-being with individual privacy in public health.…”
Get full text

Reflection on High-Quality Development of Smart Health Data by Weixuan Wang, Shaomei Shang, Zhiwen Wang, Luxia Zhang, Lin Ma, Na Li, Junhui Wu, Xu Zhang, Lan Li, Qimin Zhan

“…The development of smart geriatric care data in China now faces challenges regarding fusion of multi-source heterogeneous data, data security and privacy, and data use ethics. …”
Get full text

Data Governance Navigation for Advanced Operations in Healthcare Excellence by Vahideh Zarea Gavgani, Aniseh Pourrasmi

“…Developments in medical data analysis bring important social benefits but also challenge privacy and other ethical values. …”
Get full text

Sharing health data for research purposes: results of a population survey in Germany by Caroline Dotter, Sonja Haug, Rainer Schnell, Georgios Raptis, Karsten Weber

“…Abstract Background Increased use of health data has the potential to improve both health care and health policies. …”
Get full text

THE SECURITY OF PERSONAL DATA IN EUROPEAN UNION SINCE 2018 by Dariusz Brążkiewicz

“…Intensive development of information technology in the early 21st century means that citizens’ personal data is constantly processed using increasingly advanced digital technologies. …”
Get full text

Factors influencing patients’ willingness to share their digital health data for primary and secondary use: A theory- and evidence-based overview of reviews by Sabrina Fesl, Caroline Lang, Jochen Schmitt, Stefanie Brückner, Stephen Gilbert, Stefanie Deckert, Madlen Scheibe

“…SRs underwent a multistage screening process using the inclusion and exclusion criteria based on the Population, Concept/Construct, and Context (PCC) framework, followed by data extraction and quality assessment using revised measurement tool to assess systematic reviews (R-AMSTAR2). …”
Get full text

Comparison of Personal Data Protection Laws Indonesia and Thailand by wardah yuspin, Miranti Kusretno Tampawestri, Ridho Bawana Jati

“…The emergence the leakage of personal data realizes the protection of personal data is very important because it involves the concept of one’s privacy. …”
Get full text

Enhanced federated learning for secure medical data collaboration by Benjamin Appiah, Isaac Osei, Bill K. Frimpong, Daniel Commey, Kwabena Owusu-Agymang, Gabriel Assamah

“…Abstract Federated learning (FL) enables collaborative model training across multiple institutions while preserving data privacy. However, conventional encryption techniques used in FL remain vulnerable to quantum attacks, raising concerns about the security of model update transmissions. …”
Get full text

Patient and clinician opinions on internet search data use in therapy: Insights, considerations, and guidelines for integrating a new digital phenotyping measure by Alex Dhima, Soumya Choudhary, Keris Myrick, John Torous

“…More granular search data in visualizations was considered more useful when compared to vague search frequencies. …”
Get full text

Balancing Risks and Opportunities: Data-Empowered-Health Ecosystems by Lan Li, Emma Back, Suna Lee, Rebecca Shipley, Néo Mapitse, Stefan Elbe, Melanie Smallman, James Wilson, Ifat Yasin, Geraint Rees, Ben Gordon, Virginia Murray, Stephen L Roberts, Anna Cupani, Patty Kostkova

“…However, efforts to meet this need face risks related to privacy, data protection, security, democratic governance, and exclusion. …”
Get full text

Private Data Leakage in Federated Contrastive Learning Networks by Kongyang Chen, Wenfeng Wang, Zixin Wang, Yao Huang, Yatie Xiao, Wangjun Zhang, Zhipeng Li, Zhefei Guo, Zhucheng Luo, Lin Yin, Haiyan Mai, Xiaoying Wang, Qintai Yang

“…Generally, Federated Contrastive Learning (FCL) represents an emerging approach for learning from decentralized unlabeled data while upholding data privacy. In FCL, participant clients collaborate in learning a global encoder using unlabeled data, which can serve as a versatile feature extractor for diverse downstream tasks. …”
Get full text

Lessons Learned From European Health Data Projects With Cancer Use Cases: Implementation of Health Standards and Internet of Things Semantic Interoperability by Amelie Gyrard, Somayeh Abedian, Philip Gribbon, George Manias, Rick van Nuland, Kurt Zatloukal, Irina Emilia Nicolae, Gabriel Danciu, Septimiu Nechifor, Luis Marti-Bonmati, Pedro Mallol, Stefano Dalmiani, Serge Autexier, Mario Jendrossek, Ioannis Avramidis, Eva Garcia Alvarez, Petr Holub, Ignacio Blanquer, Anna Boden, Rada Hussein

“…These initiatives aim to enhance the analysis of heterogeneous health data while aligning with EHDS implementation, specifically for the EHDS for the secondary use of data (EHDS2). …”
Get full text

Promoting Awareness of Data Confidentiality and Security During the COVID-19 Pandemic in a Low-Income Country—Sierra Leone by Joseph Sam Kanu, Mohamed A. Vandi, Brima Bangura, Katherine Draper, Yelena Gorina, Monique A. Foster, Jadnah D. Harding, Eric N. Ikoona, Amara Jambai, Mohamed A. M. Kamara, Daniel Kaitibi, Daphne B. Moffett, Tushar Singh, John T. Redd

“…ObjectivesWorld Health Organization issued Joint Statement on Data Protection and Privacy in the COVID-19 Response stating that collection of vast amounts of personal data may potentially lead to the infringement of fundamental human rights and freedoms. …”
Get full text

Multimodal Video Analysis for Crowd Anomaly Detection Using Open Access Tourism Cameras by Alejandro Dionis-Ros, Joan Vila-Francés, Rafael Magdalena-Benedito, Fernando Mateo, Antonio J. Serrano-López

Get full text

Estimating rare disease prevalence and costs in the USA: a cohort study approach using the Healthcare Cost Institute claims data by Keith A Crandall, Christine M Cutillo, Ainslie Tisdale, Mahdi Baghbanzadeh, Reva L Stidd, Manpreet S Khural, Laurie J Hartman, Jeff Greenberg, Kevin B Zhang, Ali Rahnavard

“…Building capabilities to use machine learning to accelerate the diagnosis of RDs would vastly improve with changes to healthcare data, such as standardising data input, linking databases, addressing privacy issues and assigning ICD-10 codes for all RDs, resulting in more robust data for RD analytics.…”
Get full text

Best practices for clinical trials data harmonization and sharing on NHLBI bioData catalyst (BDC) learned from CONNECTS network COVID-19 studies by Jeran K. Stratford, Huaqin Helen Pan, Alex Mainor, Edvin Music, Joshua Froess, Alex C. Cheng, Alexandra Weissman, David T. Huang, Elizabeth C. Oelsner, Sonia M. Thomas

“…Responsible data-sharing requires addressing challenges associated with data privacy and confidentiality, data linkage, data quality, variable harmonization, data formats, and comprehensive metadata documentation to produce a high-quality, contextually rich, findable, accessible, interoperable, and reusable (FAIR) dataset. …”
Get full text

Robust Synthetic Data Generation for Sequential Financial Models Using Hybrid Variational Autoencoder–Markov Chain Monte Carlo Architectures by Francesco Bruni Prenestino, Enrico Barbierato, Alice Gatti

Get full text

Application of novel security technique in cloud environment using attribute dependent authentication for health care by D. Deena Rose, C. Agees Kumar

“…A new Matrix based encryption algorithm (M-EA), is proposed in this research, for quick computational processing, effective and reliable data storage in the cloud. This research proposed a enhanced model for attainment of data privacy on the cloud, through the use of Attribute Dependent Multi Factor Authentication (ADMFA). …”
Get full text