Big Data Analytics in Health Care

2017 ◽  
pp. 240-249
Author(s):  
Keerthi Suneetha
Keyword(s):  
Big Data ◽  
Data Analytics ◽  
Health Sector ◽  
Big Data Analytics ◽  
Analytical Techniques ◽  
High Quality ◽  
Quality Healthcare ◽  
Personalized Care ◽  
Improve Patient ◽  
Processing Steps

With the arrival of technology and rising amount of data (Big Data) there is a need towards implementation of effective analytical techniques (Big Data Analytics) in health sector which provides stakeholders with new insights that have the potential to advance personalized care to improve patient outcomes and avoid unnecessary costs. This chapter covers how to evaluate this big volume of data for unknown and useful facts, associations, patterns, trends which can give birth to new line of handling of diseases and provide high quality healthcare at lower cost to all citizens. This chapter gives a wide insight of introduction to Big Data Analytics in health domain, processing steps of BDA, Challenges and Future scope of research in healthcare.

Big Data Analytics in Health Care

Web Services ◽  
2019 ◽  
pp. 377-386
Author(s):  
Keerthi Suneetha
Keyword(s):  
Big Data ◽  
Data Analytics ◽  
Health Sector ◽  
Big Data Analytics ◽  
Analytical Techniques ◽  
High Quality ◽  
Quality Healthcare ◽  
Personalized Care ◽  
Improve Patient ◽  
Processing Steps

With the arrival of technology and rising amount of data (Big Data) there is a need towards implementation of effective analytical techniques (Big Data Analytics) in health sector which provides stakeholders with new insights that have the potential to advance personalized care to improve patient outcomes and avoid unnecessary costs. This chapter covers how to evaluate this big volume of data for unknown and useful facts, associations, patterns, trends which can give birth to new line of handling of diseases and provide high quality healthcare at lower cost to all citizens. This chapter gives a wide insight of introduction to Big Data Analytics in health domain, processing steps of BDA, Challenges and Future scope of research in healthcare.

Analysis of Big Data Analytics in Healthcare Sector: Applications and Tools

2020 ◽  
Vol 17 (12) ◽  
pp. 5605-5612
Author(s):  
A. Kaliappan ◽  
D. Chitra
Keyword(s):  
Big Data ◽  
Data Analytics ◽  
Health Sector ◽  
Big Data Analytics ◽  
High Volume ◽  
Healthcare Sector ◽  
Genome Database ◽  
Tremendous Amount ◽  
The Impact ◽  
Different Sources

In today’s world, an immense measure of information in the form of unstructured, semi-structured and unstructured is generated by different sources all over the world in a tremendous amount. Big data is the termed coined to address these enormous amounts of data. One of the major challenges in the health sector is handling a high-volume variety of data generated from diverse sources and utilizing it for the wellbeing of human. Big data analytics is one of technique designed to operate with monstrous measures of information. The impact of big data in healthcare field and utilization of Hadoop system tools for supervising the big data are deliberated in this paper. The big data analytics role and its theoretical and conceptual architecture include the gathering of diverse information’s such as electronic health records, genome database and clinical decisions support systems, text representation in health care industry is investigated in this paper.

Analytics based decision making

2014 ◽  
Vol 6 (4) ◽  
pp. 332-340 ◽  
Author(s):  
Deepak Agrawal
Keyword(s):  
Decision Making ◽  
Big Data ◽  
Data Analytics ◽  
Design Methodology ◽  
Historical Perspective ◽  
Big Data Analytics ◽  
Analytical Techniques ◽  
Content Type ◽  
Informed Decisions ◽  
Different Types

Purpose – This paper aims to trace the history, application areas and users of Classical Analytics and Big Data Analytics. Design/methodology/approach – The paper discusses different types of Classical and Big Data Analytical techniques and application areas from the early days to present day. Findings – Businesses can benefit from a deeper understanding of Classical and Big Data Analytics to make better and more informed decisions. Originality/value – This is a historical perspective from the early days of analytics to present day use of analytics.

A Recommendation Scheme for an Optimal Pre-processing Permutation Towards High-Quality Big Data Analytics

2020 ◽  
Vol 47 (3) ◽  
pp. 319-327
Author(s):  
Seounghyun Kim ◽  
Young-Kyoon Suh ◽  
Byungchul Tak
Keyword(s):  
Big Data ◽  
Data Analytics ◽  
Big Data Analytics ◽  
High Quality

scholarly journals Prediction of Parkinson’s Disease at Early Stage using Big Data Analytics

2020 ◽  
Vol 9 (4) ◽  
pp. 2453-2459
Keyword(s):  
Parkinson’S Disease ◽  
Parkinson's Disease ◽  
Big Data ◽  
Data Analytics ◽  
Clinical Medicine ◽  
Neurodegenerative Disorder ◽  
Early Stage ◽  
Big Data Analytics ◽  
Analytical Techniques ◽  
Predictive Methods

Due to technological improvements in healthcare industry and clinical medicine, it requires to adapt new software techniques and tools to predict, diagnose and analyze disease patterns for making decisions in the early stage of disease. Parkinson’s disease is a neurodegenerative disorder. The PD damage the motor skills and may create speech problem and also affect the decision making process. Many people suffers with PD all over the world from many years. Day by day, the PD data has been increased, so the existing data mining predictive methods and tools does not give accurate results early for making decisions by doctors to save and increase the patient life period. Early PD symptoms can be detected by Big Data Analytics and proper medicine will be provided at the right time. In this paper, we are doing survey of predictive methods, Big Data Analytical techniques and also earlier researchers results presented.

scholarly journals An Application Overview of IoT Enabled-Big Data Analytics in Health Sector with Special Reference to Covid-19

2021 ◽  
Author(s):  
RAJIB BISWAS
Keyword(s):  
Big Data ◽  
Special Reference ◽  
Data Analytics ◽  
Health Sector ◽  
Big Data Analytics ◽  
Healthcare Sector ◽  
Space Communications ◽  
Future Expectations ◽  
Computing Systems ◽  
Day By Day

— Big Data analytics has come a long way since its inception. This field is growing day by day. With the advent of large handling capacity of computational analysis of modern computing systems as well as Internet of Things (IoT), this field has revolutionized the way we think about data. It has influenced the major domains such as healthcare, automobile, computing, climatology, and space communications. Of late, the health care sector has been largely influenced by this. This communication deals with the areas of healthcare where big data analytics has been largely influential. Encompassing the basics of Big Data Analytics (BDA) driven by IoT, the applications of it in healthcare sector are outlined, accompanied by future expectations. Additionally, it also presents a comprehensive analysis of recent application with special reference to Covid-19 in this sector.

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