big data analytics in healthcare research paper pdf

Big Data analytics can improve patient outcomes, advance and personalize care, improve provider relation ships with. patients, and reduce medical sp ending. This paper introduces he althcare data ...

The introduction of Big Data Analytics (BDA) in healthcare will allow to use new technologies both in treatment of patients and health management. The paper aims at analyzing the possibilities of using Big Data Analytics in healthcare. The research is based on a critical analysis of the literature, as well as the presentation of selected results of direct research on the use of Big Data ...

Big data is an. emerging technology to modernize the conventional health. care system and move the curr ent healthcare industry forward. on several fronts [4]. The data from different sou rces ...

Big data provides support for the constantly changing nature of data by offering extensionality (the addition of new data fields) and scalability (expansion in size). g) Valence (connectedness) Big data connects common fields to conjoin different data sets. 2.2. Big data in healthcare.

The introduction of Big Data Analytics (BDA) in healthcare will allow to use new technologies both in treatment of patients and health management. The paper aims at analyzing the possibilities of ...

Malik, Abdallah, and Ala'raj (2018) reviewed the use of BDA in supply chain management in healthcare. Saheb and Izadi (2019) reviewed the use of big data sourced from Internet-of-Things devices in the healthcare industry. Such review studies are not designed to provide a comprehensive review of the literature on BDA in healthcare.

This article provides an overview of big data analytics in healthcare as it is emerging as a discipline. First, we define and discuss the various advantages and character-istics of big data analytics in healthcare. Then we de-scribe the architectural framework of big data analytics in healthcare. Third, the big data analytics application

A number of research articles proposed using big data analytics in varying domains especially in healthcare such as Kumar et al. 5 proposed a cognitive technology-based healthcare evaluations ...

Management and analysis of big data. Big data is the huge amounts of a variety of data generated at a rapid rate. The data gathered from various sources is mostly required for optimizing consumer services rather than consumer consumption. This is also true for big data from the biomedical research and healthcare.

The term Big Data is used to describe extremely large datasets that are complex, multi-dimensional, unstructured, and heterogeneous and that are accumulating rapidly and may be analyzed with appropriate informatic and statistical methodologies to reveal patterns, trends, and associations [].In medical and healthcare research, Big Data sources include electronic health records (EHRs ...

Big data's objective and guiding concept is to gather more information and more insights from this information and has the capacity to forecast future occurrences. Several reputable healthcare firms expect a robust growth rate in the healthcare data sector. 2. Literature Review of Healthcare Data.

The main health benefits of BD are found in disease prevention, in identifying the main health risk factors and in designing more effective healthcare measures [ 58, 59, 75 ]. BD, in fact, supports the digitization of all medical records by making all data related to each patient's medical history available [ 76 ].

Abstract. The introduction of Big Data Analytics (BDA) in healthcare will allow to use new technologies both in treatment of patients and health management. The paper aims at analyzing the possibilities of using Big Data Analytics in healthcare. The research is based on a critical analysis of the literature, as well as the presentation of ...

Big data is transforming and will transform the healthcare organizations in the near future [1, 2].Scientific literature in the managerial context applied to healthcare organizations, consider the Big Data Analytics (BDA) a fundamental tool, so much so that it has attracted the attention of the scientific community and stakeholders [].However, a premise should be made: data by themselves ...

Furthermore, such value can be provided using big data analytics, which is the application of advanced analytics techniques on big data. This paper presents an overview of big data content, sources, technologies, tools, and challenges in health care. It also intends to identify the strategies to overcome the challenges.

The introduction of Big Data Analytics (BDA) in healthcare will allow to use new technologies both in treatment of patients and health management. The paper aims at analyzing the possibilities of using Big Data Analytics in healthcare. The research is based on a critical analysis of the literature, as well as the presentation of selected ...

In the era of big data, standard analysis tools may be inadequate for making inference and there is a growing need for more efficient and innovative ways to collect, process, analyze and interpret the massive and complex data. We provide an overview of challenges in big data problems and describe how innovative analytical methods, machine learning tools and metaheuristics can tackle general ...

If you need immediate assistance, call 877-SSRNHelp (877 777 6435) in the United States, or +1 212 448 2500 outside of the United States, 8:30AM to 6:00PM U.S. Eastern, Monday - Friday. Big data in healthcare is vast and complex to understand through traditional data processing techniques. These data can be collected from patient records, clini.

The pace of both digital innovation and technology disruption is refining the healthcare industry at an exponential rate. The large volume of healthcare data continues to mount every second, making it harder and very difficult to find any form of useful information. Recently, big data is shifting the traditional way of data delivery into valuable insights using big data analytics method. Big ...

The primary functions of big data analytics and its distinct phases [] in the development of healthcare applications and research are covered in this section.Large volumes of structured, unstructured, and semi-structured data produced by contemporary healthcare systems or organizations are collected, processed, analyzed, inspected, and managed using this technology specifically designed for ...

The first is the introduction which provides background and the general problem statement of this research. In the second part, this paper discusses considerations on use of Big Data and Big Data Analytics in Healthcare, and then, in the third part, it moves on to challenges and potential benefits of using Big Data Analytics in healthcare.

Whereas the healthcare and medical analytics are expected to grow at a CAGR. of 27.1% to reach US$24.55 Billion by 2021 from US$7.39 Billion in 2016 (marketsandmarkets.com, 2016). The whole ...

4 ML and Analytics in Healthcare Systems. structu re alignments, signal dete ction algorithms, and lung texture classi cation [5]. The architect ural fr amework of big data in healthcare is ...

This study proposes a novel hybrid data mining algorithm that combines sentiment analysis and topic modeling techniques, aiming to improve the accuracy and comprehensiveness of social media data analysis. This paper first introduces the important role of social media in shaping public opinion and the major challenges currently faced in data ...

To apply true cost accounting at the country level, the methods developed must be downscaled and the data limitations overcome. This review goes through each cost category - environmental, social and health - and proposes approaches to deal with them, with a focus on country-level estimates and analysis, especially in data-scarce countries.

Background Plans to phase out fossil fuel-powered internal combustion engine (ICE) vehicles and to replace these with electric and hybrid-electric (E-HE) vehicles represent a historic step to reduce air pollution and address the climate emergency. However, there are concerns that E-HE cars are more hazardous to pedestrians, due to being quieter. We investigated and compared injury risks to ...

The term "Big Data" refers to the evolution and use of. technologies that provide the right user at the right time with. the right information from a mass of data that has been. growing ...