Big Data in Health Care: Applications and Challenges

Abstract

The concept of Big Data is popular in a variety of domains. The purpose of this review was to summarize the features, applications, analysis approaches, and challenges of Big Data in health care. Big Data in health care has its own features, such as heterogeneity, incompleteness, timeliness and longevity, privacy, and ownership. These features bring a series of challenges for data storage, mining, and sharing to promote healthrelated research. To deal with these challenges, analysis approaches focusing on Big Data in health care need to be developed and laws and regulations for making use of Big Data in health care need to be enacted. From a patient perspective, application of Big Data analysis could bring about improved treatment and lower costs. In addition to patients, government, hospitals, and research institutions could also benefit from the Big Data in health care. Abstract:In the concept of the aesthetic formation of knowledge and its as soon as possible and success-oriented application, insights and profits without the reference to the arguments developed around 1900. The main investigation also includes the period between the entry into force and the presentation in its current version. Their function as part of the literary portrayal and narrative technique. Studies and InvestigationsThe main investigation also includes the period between the entry into force and the presentation in its current version. Their function as part of the literary portrayal and narrative technique.Abstract: In the concept of the aesthetic formation of knowledge and its as soon as possible and success-oriented application, insights and profits without the reference to the arguments developed around 1900. The main investigation also includes the period between the entry into force and the presentation in its current version. Their function as part of the literary portrayal and narrative technique. Studies and InvestigationsThe main investigation also includes the period between the entry into force and the presentation in its current version. Their function as part of the literary portrayal and narrative technique.

A Systematic Review of Knowledge Visualization Approaches Using Big Data Methodology for Clinical Decision Support

“…All PICOS subcategories were identified and classified through the review process. Similarly [7] where applicable, pre-existing taxonomies such as interaction taxonomy [8,9], major date types of big data in health care [10] and target audience [7] were integrated with the PICOS framework. The synthesis of the findings contains results for each PICOS category (Population/Problem-Intervention-Comparison-Outcomes-Study Design) which covers all related subcategories.…”

“…Big data in health care can be classified into four major types based on data sources: (1) big data in medicine, (or medical/clinical big data); (2) big data in public health and behavior; (3) big data in medical experiments; and (4) big data in medical literature [10]. We identified three major types of big data in reviewed studies (Figure 2).…”

“…Big data sourced from public health and patient activities are the second major sources of big data in our studies (n = 13, 76%). These focus on the physiological A Systematic Review of Knowledge Visualization Approaches Using Big Data Methodology… DOI: http://dx.doi.org /10.5772/intechopen.90266 data of users that are often collected by portable equipment [10] such as electrical and electromagnetic signals from body vitals collected by wearable devices, daily health records, and from sports and personal diets.…”

Big Data Analytics and Processing Platform in Czech Republic Healthcare

“…Many of the related works and reviews on big data techniques [57] and technologies used in healthcare rely mostly on silo principles for data integration, data processing, and data visualisation. An application that operates on the columns in the dataset allows overcoming of performance problems with the "NoSQL" or "Not Only SQL" databases [43,45].…”

The epidemic situation of COVID-19 in Gansu Province, China — a Big Data analysis of the National Health Information Platform

“…The combined use of big data resources and new technologies has great potential to solve many existing medical problems and provide better evidence for decision making (10). Big data may be one of the most efficient tools of scientific prevention and control for this public health emergency (11,12). Therefore, we aimed to obtain the epidemic status and characteristics of COVID-19 in Gansu Province, based on the Gansu Province National Health Information Platform, to accumulate the knowledge of this new disease and support epidemic prevention and control in Gansu and elsewhere.…”