Big data analytics in healthcare: promise and potential
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Summary
The paper describes the nascent field of big data analytics in healthcare, discusses the benefits, outlines an architectural framework and methodology, describes examples reported in the literature, briefly discusses the challenges, and offers conclusions.
- Type
- review
- Published
- 2014-02-07
- Cited by
- 2,821
- References
- 39
- Access
- Open access
- OpenAlex
- https://openalex.org/W2120751691
- Semantic Scholar
- https://api.semanticscholar.org/CorpusID:388276
Keywords
Big data, Data science, Analytics, Health care, Computer science
References
- Data Mining in Health Care
- Big Data Analytics: Turning Big Data into Big Money
- Big data: The next frontier for innovation, competition, and productivity
- Understanding Big Data: Analytics for Enterprise Class Hadoop and Streaming Data
- Healthcare Informatics: Improving Efficiency and Productivity
- Interoperable Electronic Health Records Design: Towards a Service-Oriented Architecture
- Digging for drug facts
- Towards Large-scale Twitter Mining for Drug-related Adverse Events
- Big Data analytics
- Puzzling out big data
- Big data platforms: What's next?
- Big Data, Bigger Outcomes
- Big Data in Healthcare Hype and Hope
- An Overview of Health Analytics
- Big Data in Healthcare Hype and Hope
- Puzzling out big data [Information Technology Analytics]
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- Information technology innovation: the power and perils of big data.
- Big Data Analytics in Healthcare
- Storytelling in the context of vaccine refusal: a strategy to improve communication and immunisation
- Are Randomized Controlled Trials the (G)old Standard? From Clinical Intelligence to Prescriptive Analytics
- Feasibility of digital footprint data for health analytics and services: an explorative pilot study
- Data science, learning, and applications to biomedical and health sciences
- What’s new in ICU in 2050: big data and machine learning
- Discovering role interaction models in the Emergency Room using Process Mining
- An Efficient Implementation of Deep Convolutional Neural Networks for MRI Segmentation
- The Datafication of Everything — Even Toilets
- Can the NHS be a learning healthcare system in the age of digital technology?
- Clinical Pharmacokinetic Studies in Pregnant Women and the Relevance of Pharmacometric Tools.
- Machine Learning in Drug Discovery and Development Part 1: A Primer
- Developing a Big Data-Enabled Transformation Model in Healthcare: A Practice Based View
- Cross-Layer Multi-Cloud Real-Time Application QoS Monitoring and Benchmarking As-a-Service Framework
- Predictive Methodology for Diabetic Data Analysis in Big Data
- The potentials and challenges of big data in public health
- Healthcare Analytics Adoption-Decision Model: A Case Study
- Meeting physicians' information needs in the electronic health record
- Bridging the gap between translational medicine and unmet clinical needs
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