Healthcare Analytics: A Comprehensive Review
| Autor: | A. Alghamdi, Abdullah Baz, Hosam Alhakami, Tahani Alsubait |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2021 |
| Předmět: |
descriptive analytics
Computer science Big data 02 engineering and technology 03 medical and health sciences 0302 clinical medicine big data Health care lcsh:Technology (General) 0202 electrical engineering electronic engineering information engineering healthcare analytics 030212 general & internal medicine Baseline (configuration management) Healthcare analytics Descriptive statistics lcsh:T58.5-58.64 business.industry lcsh:Information technology healthcare Secondary data Predictive analytics Data science diagnostic analytics lcsh:TA1-2040 Data analysis lcsh:T1-995 020201 artificial intelligence & image processing business lcsh:Engineering (General). Civil engineering (General) |
| Zdroj: | Engineering, Technology & Applied Science Research, Vol 11, Iss 1 (2021) |
| ISSN: | 1792-8036 2241-4487 |
| Popis: | Big data have attracted significant attention in recent years, as their hidden potentials that can improve human life, especially when applied in healthcare. Big data is a reasonable collection of useful information allowing new breakthroughs or understandings. This paper reviews the use and effectiveness of data analytics in healthcare, examining secondary data sources such as books, journals, and other reputable publications between 2000 and 2020, utilizing a very strict strategy in keywords. Large scale data have been proven of great importance in healthcare, and therefore there is a need for advanced forms of data analytics, such as diagnostic data and descriptive analysis, for improving healthcare outcomes. The utilization of large-scale data can form the backbone of predictive analytics which is the baseline for future individual outcome prediction. |
| Databáze: | OpenAIRE |
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