Cargando…

Data Sharing and Global Public Health: Defining What We Mean by Data

Detalles Bibliográficos
Autores principales:	Schwalbe, Nina, Wahl, Brian, Song, Jingyi, Lehtimaki, Susanna
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	Frontiers Media S.A. 2020
Materias:	Digital Health
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8521885/ https://www.ncbi.nlm.nih.gov/pubmed/34713073 http://dx.doi.org/10.3389/fdgth.2020.612339

Ejemplares similares

Global Data and Digital Public Health Leadership for Current and Future Pandemic Responses
por: Al Knawy, Bandar
Publicado: (2021)

“Sharing Is Caring:” Australian Self-Trackers' Concepts and Practices of Personal Data Sharing and Privacy
por: Lupton, Deborah
Publicado: (2021)

Patient preferences as human factors for health data recommender systems and shared decision making in orthopaedic practice
por: Singh, Akanksha, et al.
Publicado: (2023)

Public health messages during a global emergency through an online community: a discourse and sentiment analysis
por: Watkins, Megan, et al.
Publicado: (2023)

Older adults' experience with virtual conversational agents for health data collection
por: Wilczewski, Hattie, et al.
Publicado: (2023)

Reproducible Analysis Pipeline for Data Streams: Open-Source Software to Process Data Collected With Mobile Devices
por: Vega, Julio, et al.
Publicado: (2021)

Multiple imputation of missing data in multilevel ecological momentary assessments: an example using smoking cessation study data
por: Ji, Linying, et al.
Publicado: (2023)

Virtual conversational agents versus online forms: Patient experience and preferences for health data collection
por: Soni, Hiral, et al.
Publicado: (2022)

Workflow for health-related and brain data lifecycle
por: Brůha, Petr, et al.
Publicado: (2022)

Structured data vs. unstructured data in machine learning prediction models for suicidal behaviors: A systematic review and meta-analysis
por: Hopkins, Danielle, et al.
Publicado: (2022)

User perceptions about sharing exposure notification information for communicable diseases
por: Schooley, Benjamin, et al.
Publicado: (2022)

Impact of Data Transformation: An ECG Heartbeat Classification Approach
por: Liang, Yongbo, et al.
Publicado: (2020)

Erroneous data: The Achilles' heel of AI and personalized medicine
por: Kristiansen, Thomas Birk, et al.
Publicado: (2022)

Leveraging electronic health record data for endometriosis research
por: Penrod, Nadia, et al.
Publicado: (2023)

Corrigendum: User perceptions about sharing exposure notification information for communicable diseases
por: Schooley, Benjamin, et al.
Publicado: (2023)

Image Descriptors for Weakly Annotated Histopathological Breast Cancer Data
por: Stanitsas, Panagiotis, et al.
Publicado: (2020)

Turning data into better mental health: Past, present, and future
por: Moukaddam, Nidal, et al.
Publicado: (2022)

Emerging data inputs for infectious diseases surveillance and decision making
por: Shausan, Aminath, et al.
Publicado: (2023)

Editorial: Wearable and mobile data analysis methodologies for personalized medicine
por: Pires, Ivan Miguel, et al.
Publicado: (2023)

What we see when we digitize pain: The risk of valorizing image-based representations of fibromyalgia over body and bodily experience
por: Manivannan, Vyshali
Publicado: (2017)

Artificial Intelligence, Data Sensors and Interconnectivity: Future Opportunities for Heart Failure
por: Bachtiger, Patrik, et al.
Publicado: (2020)

Examining Response to Negative Life Events Through Fitness Tracker Data
por: Faust, Louis, et al.
Publicado: (2021)

Data Quality and Network Considerations for Mobile Contact Tracing and Health Monitoring
por: Dave, Riya, et al.
Publicado: (2021)

Patient-Centered Data Home: A Path Towards National Interoperability
por: Williams, Karmen S., et al.
Publicado: (2022)

Data and Digital Solutions to Support Surveillance Strategies in the Context of the COVID-19 Pandemic
por: Kostkova, Patty, et al.
Publicado: (2021)

Identifying Heart Failure in ECG Data With Artificial Intelligence—A Meta-Analysis
por: Grün, Dimitri, et al.
Publicado: (2021)

Use of My Health Record by Clinicians in the Emergency Department: An Analysis of Log Data
por: Mullins, Alexandra K., et al.
Publicado: (2021)

The development and validation of a dashboard prototype for real-time suicide mortality data
por: Benson, R., et al.
Publicado: (2022)

Personalised depression forecasting using mobile sensor data and ecological momentary assessment
por: Kathan, Alexander, et al.
Publicado: (2022)

A data-driven framework for clinical decision support applied to pneumonia management
por: Free, Robert C., et al.
Publicado: (2023)

Blockchains as a means to promote privacy protecting, access availing, incentive increasing, ELSI lessening DNA databases
por: Zarchi, Gal, et al.
Publicado: (2023)

The Use of Synthetic Electronic Health Record Data and Deep Learning to Improve Timing of High-Risk Heart Failure Surgical Intervention by Predicting Proximity to Catastrophic Decompensation
por: Guo, Aixia, et al.
Publicado: (2020)

Clustering Users Based on Hearing Aid Use: An Exploratory Analysis of Real-World Data
por: Pasta, Alessandro, et al.
Publicado: (2021)

University students’ opinions towards mobile sensing data collection: A qualitative analysis
por: Cooper, Jack R. H., et al.
Publicado: (2023)

Hypoglycemia risk with physical activity in type 1 diabetes: a data-driven approach
por: Prasanna, Sahana, et al.
Publicado: (2023)

INTUITION: a data platform to integrate human epilepsy clinical care and support for discovery
por: Maharathi, Biswajit, et al.
Publicado: (2023)

Predicting food craving in everyday life through smartphone-derived sensor and usage data
por: Schneidergruber, Thomas, et al.
Publicado: (2023)

On the Annotation of Health Care Pathways to Allow the Application of Care-Plans That Generate Data for Multiple Purposes
por: Ingvar, Martin, et al.
Publicado: (2021)

PROD-ALERT: Psychiatric restraint open data—analysis using logarithmic estimates on reporting trends
por: Reid, Keith, et al.
Publicado: (2022)

Evaluating physical urban features in several mental illnesses using electronic health record data
por: Mahabadi, Zahra, et al.
Publicado: (2022)

Cannot write session to /tmp/vufind_sessions/sess_j1j4fvgdbu0ko1ddri237sddfe