Big Data Analytics in the Healthcare Industry

Abstract

Big Data has changed the way we manage, analyze and impact the data information in any industry. A champion among the most promising zones where it will, in general, be associated with takeoff progress is therapeutic medicinal administrations. Administration examinations can diminish costs of treatment, foresee flare-ups of pestilences, keep up a key separation from preventable diseases and improve individual fulfillment overall. The chapter depicts the beginning field of a huge information investigation in human services, talks about the advantages, diagrams a design structure and approach, portrays models revealed in the writing, quickly examines the difficulties, and offers ends. A continuous examination which targets the utilization of tremendous volumes of remedial data information while combining multimodal data information from various sources is discussed. Potential locales of research inside this field which can give noteworthy impact on medicinal administrations movement are in like manner dissected.

Artificial Intelligence-Based Breast Cancer Detection Using WPSO

“…SVM produced accuracy with Weka tool. In (Acharjya, 2016;Varatharajan and Varatharajan, 2020;Sampathkumar-Rastogi, et al, 2020), Chowdhary et al utilized mammography images for the detection of breast cancer using intuitive fuzzy histogram magnification approach thereby data was processed and image quality was improved (Kelly-Dean, et al, 2010):…”

Data Visualization of Big Data for Predictive and Descriptive Analytics for Stroke, COVID-19, and Diabetes

“…Patil and Vohra (2021) edited a handbook of research that focuses on healthcare applications of data science and analytics. Varatharajan et al (2020) discussed an in-depth study of big data analytics in the healthcare industry by analyzing healthcare applications using machine learning. Varatharajan et al (2020) discussed the need for big data analytics in the healthcare ecosystem with personal health records, electronic health records, health information exchange, and national and international health analytics.…”

“…Varatharajan et al (2020) presented an in-depth discussion of streaming healthcare data using data analytics with stages that are summarized in Table 2. Varatharajan et al (2020) also presented several big data platforms and big data tools that are each discussed in more depth with others in Segall & Gao's (2020) work and in a chapter by Segall (2020b) pertaining to open-source software for the statistical analysis of big data. Varatharjan et al (2020) showed that the three most important roles of big data analytics in healthcare are cost reduction, faster & better decision making, and new products and services.…”

“…Varatharajan et al (2020) discussed an in-depth study of big data analytics in the healthcare industry by analyzing healthcare applications using machine learning. Varatharajan et al (2020) discussed the need for big data analytics in the healthcare ecosystem with personal health records, electronic health records, health information exchange, and national and international health analytics. Varatharajan et al (2020) compared the biggest challenges in big data analytics of data complexity, data volumes, performance, skills, data velocity, and cost for Boston, San Francisco, and Chicago.…”

“…Varatharajan et al (2020) discussed the need for big data analytics in the healthcare ecosystem with personal health records, electronic health records, health information exchange, and national and international health analytics. Varatharajan et al (2020) compared the biggest challenges in big data analytics of data complexity, data volumes, performance, skills, data velocity, and cost for Boston, San Francisco, and Chicago. Varatharajan et al (2020) presented an in-depth discussion of streaming healthcare data using data analytics with stages that are summarized in Table 2.…”