Open AccessHealthcare Analytics: A Comprehensive Review
Author(s) -
Ahmad M. Alghamdi,
Tahani Alsubait,
Abdullah Baz,
Hosam Alhakami
Publication year - 2021
Publication title -
engineering, technology and applied science research/engineering, technology and applied science research
Language(s) - English
Resource type - Journals
eISSN - 2241-4487
pISSN - 1792-8036
DOI - 10.48084/etasr.3965
Subject(s) - big data , data science , analytics , health care , data collection , data analysis , predictive analytics , scale (ratio) , computer science , descriptive statistics , data mining , political science , statistics , physics , mathematics , quantum mechanics , law
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.