Big Data in Nursing Research
The term "big data" refers to the amount of data that is beyond human comprehension and cannot be managed by standard computing systems. Big data is becoming more prevalent in nursing and healthcare settings. Data scientists are constantly developing knowledge and specific methods for managing this data. Nursing professionals who can leverage this data can use it to build holistic treatment strategies for their patients, which more effectively address their needs. Using big data in healthcare can help patients take a more proactive approach to their care. Nurse researchers used secondary data analysis in epidemiological studies, risk assessments, skills assessments, comparisons of practices in different geographic areas, and outcome studies.
Related Conference of Big Data in Nursing Research
12th World Congress on Computer Science, Machine Learning and Big Data
6th International Conference on Renewable Energy and Resources
12th International Conference and Exhibition on Mechanical & Aerospace Engineering
25th International Conference on Big Data & Data Analytics
Big Data in Nursing Research Conference Speakers
Recommended Sessions
- Big Data Algorithm
- Big Data Analytics
- Big Data Applications, Challenges and Opportunities
- Big Data in Nursing Research
- Big Data Management
- Big Data Optimization
- Big Data Technologies
- Big Data Tools and Systems
- Cloud computing
- Data Mining and Machine Learning
- Data Mining Tasks, Processes and Analysis
- Data Mining Tools and Software
- Data Privacy and Ethics
- Data Warehousing
- Forecasting from Big Data
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