Big Data in Nursing Research
With advances in technologies, nurse scientists are increasingly generating and using large and complex datasets, sometimes called “Big Data,” to promote and improve Health Conditions. New strategies for collecting and detailed examination large datasets will allow us to better understand the biological, genetic, and behavioural underpinnings of health, and to improve the way we prevent and manage illness.
- Big data in nursing inquiry
- Methods, tools and processes used with big data with relevance to nursing
- Big Data and Nursing Practice
Related Conference of Big Data in Nursing Research
September 23-24, 2020
8th World congress on Big Data, Computer science, Analytics and Data Mining
Milan, Italy
September 25-26, 2020
7th International Conference and Expo on Computer Graphics & Animation
Vancouver, Canada
September 25-26, 2020
14th International Conference & Exhibition on Biosensors & Bioelectronics
Montreal, Canada
September 28-29, 2020
6th International Conference on Wireless, Telecommunication & IoT
Barcelona, Spain
October 16-17, 2020
International Conference on 3D Printing, Nano & Additive Manufacturing Technology
Athens, Greece
October 16-17, 2020
3rd International Conference on Civil Engineering, Architecture and Structural Materials
Munich, Germany
November 19-20, 2020
9th International conference on Artificial Intelligence, Robotics and Machine Learning
London, UK
November 25-26, 2020
8th International Conference on Mechanical and Aerospace Engineering
Tokyo, Japan
June 23-24, 2021
4th International Conference on Artificial Intelligence, Machine Learning and Robotics
Tokyo, Japan
Big Data in Nursing Research Conference Speakers
Recommended Sessions
- Big Data Analytics
- Artificial Intelligence
- Big Data Algorithm
- Big Data Applications, Challenges and Opportunities
- Big Data in Nursing Research
- Big Data Optimization
- Big Data Technologies
- Business Analytics
- Cloud Computing
- Clustering
- Complexity and Algorithms
- Data Mining and Machine Learning
- Data Mining Applications in Science, Engineering, Healthcare and Medicine
- Data Mining Methods and Algorithms
- Data Mining Tasks, Processes and Analysis
- Data Mining Tools and Software
- Data Privacy and Ethics
- Data Warehousing
- Forecasting from Big Data
- Frequent Pattern Mining
- Internet of Things (IOT)
- Nanoinformatics
- New Visualization Techniques
- Open Data
- Renewable Energy Forecasting with Big Data
- Search and Data Mining
- Social Network Analysis
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