Last day of the OFFER FLAT 20% off & $20 sign up bonus Order Now

Last day of the offer FLAT 20% off & $20 sign up bonus

us

Free Resources

  • icon 75000+ Completed Assignments
  • icon 1500+ PhD Experts
  • icon 100+ Subjects we cater
  • icon 100% Secure Payment

CSE 6250 Big Data for Health Informatics

Published : 01-Sep,2021  |  Views : 10

Question:

 Topic "Analysis of Health Care Data using Big Data".

Answer:

Research Worldview

With respect to this paper, the research worldview has been the aspect of post-positivism. The process of post-positivism has been looking into the aspects that can construct a precise paper by making use of new and old data and information with the help of which the paper can be concluded (Archenaa, & Anita 2015). The reason for selecting this method has been that this paper looks to understand how Big Data is useful for the assessment of the healthcare data and therefore post-positivism has been used with the help of which innovative results can be attained.

Research Design 

The research design that would be used in this paper is exploratory in nature as the data used is quantitative in nature. The quantitative data that has been used would be assessed in the exploratory format as the responses from selected participants would be used in order to have an idea about what people think about Big Data and its usefulness in the assessment of healthcare data (Kambatla et al., 2014). Therefore, this kind of research design would be useful for the creation of a report that would be appropriate for the researcher in order to discover the precise results.

Research Strategy

The strategy refers to the plans and the policies that would be used by the researcher in order to collect the data and use that data for the purpose of completion of the paper. There has been an observation that primary data would be used for the purpose of collecting the data from the selected respondents and therefore the paper has looked to undertake an experiment or a survey that can be direct or online in nature with the help of which they can forward the questionnaires constructed in order to gain the data for the research from the respondents (Gandomi, & Haider 2015). There has been observation that surveys are one of the easiest ways to collect data and as this paper requires primary data that is the data from the idea of the respondents, the questionnaire format can be useful in motivating the respondents to answer the question by keeping it confidential and safe.

Method of Data Collection   

The process of data collection is undertaken with respect to the worldview aspect. It is known that this paper has been following the post-positivism theory and therefore the questionnaire that would be constructed would comprise of close ended questions so that the respondents are able to answer them in an effective manner and does not need to write down the answers (Agarwal, & Dhar 2014). The respondents can just share their feelings with the help of ticking the box of their choice. This aids in the development of a precise paper as the data that would be received would be authentic. The data that would be received would be used as an observed experiment and thereby the questionnaires that are completed would be shortlisted and examination of these data would be undertaken.

Method of Data Analysis 

The process of analysis of the data would be undertaken with the help of various statistical tools and techniques that would be helpful for the development and the construction of the paper in an effective manner (Hassanien et al., 2015). There has been an observation that with the help of these techniques the data that has been collected would be gone through descriptive statistical method with the help of which the answers that are essential can be collected and this would be helpful in answering the research issues and the objectives of the research.

Population 

The population of the country from where the respondents would be collected is chosen from the country where the healthcare data would be assessed. The entire population of the country cannot be taken into consideration and therefore a certain city has been taken into consideration (Costa, 2014). The researcher has chosen the city from where the that person exists and so that they can gather the data within a short time span.

Sample

The sample has been selected from the city from where the researcher belongs and therefore a a sample size of 50 respondents have been chosen to whom the questionnaires have been forwarded so that the primary data can be collected.

References

Agarwal, R., & Dhar, V. (2014). Big data, data science, and analytics: The opportunity and challenge for IS research.
Archenaa, J., & Anita, E. M. (2015). A survey of big data analytics in healthcare and government. Procedia Computer Science, 50, 408-413.
 
Bates, D. W., Saria, S., Ohno-Machado, L., Shah, A., & Escobar, G. (2014). Big data in health care: using analytics to identify and manage high-risk and high-cost patients. Health Affairs, 33(7), 1123-1131.
Chawla, N. V., & Davis, D. A. (2013). Bringing big data to personalized healthcare: a patient-centered framework. Journal of general internal medicine, 28(3), 660-665.
 
Chen, L., Zheng, D., Liu, B., Yang, J., & Jin, Q. (2016). VFDB 2016: hierarchical and refined dataset for big data analysis—10 years on. Nucleic acids research, 44(D1), D694-D697.
 
Chen, M., Mao, S., & Liu, Y. (2014). Big data: A survey. Mobile Networks and Applications, 19(2), 171-209.
Costa, F. F. (2014). Big data in biomedicine. Drug discovery today, 19(4), 433-440.
Gandomi, A., & Haider, M. (2015). Beyond the hype: Big data concepts, methods, and analytics. International Journal of Information Management, 35(2), 137-144.
 
George, G., Haas, M. R., & Pentland, A. (2014). Big data and management. Academy of Management Journal, 57(2), 321-326.
Groves, P., Kayyali, B., Knott, D., & Kuiken, S. V. (2016). The'big data'revolution in healthcare: Accelerating value and innovation.
Hassanien, A. E., Azar, A. T., Snasel, V., Kacprzyk, J., & Abawajy, J. H. (2015). Big Data in Complex Systems.
 
Jee, K., & Kim, G. H. (2013). Potentiality of big data in the medical sector: focus on how to reshape the healthcare system. Healthcare informatics research, 19(2), 79-85.
 
 
Kambatla, K., Kollias, G., Kumar, V., & Grama, A. (2014). Trends in big data analytics. Journal of Parallel and Distributed Computing, 74(7), 2561-2573.
Kim, G. H., Trimi, S., & Chung, J. H. (2014). Big-data applications in the government sector. Communications of the ACM, 57(3), 78-85.
Murdoch, T. B., & Detsky, A. S. (2013). The inevitable application of big data to health care. Jama, 309(13), 1351-1352.
Raghupathi, W., & Raghupathi, V. (2014). Big data analytics in healthcare: promise and potential. Health information science and systems, 2(1), 3.
 
Roski, J., Bo-Linn, G. W., & Andrews, T. A. (2014). Creating value in health care through big data: opportunities and policy implications. Health affairs, 33(7), 1115-1122.
 
Schneeweiss, S. (2014). Learning from big health care data. New England Journal of Medicine, 370(23), 2161-2163.
 
Siegel, E. (2016). Predictive analytics: The power to predict who will click, buy, lie, or die (pp. 103-110). Hoboken (NJ): Wiley.
Topol, E. J. (2015). The patient will see you now: the future of medicine is in your hands. Tantor Media.
 
Weber, G. M., Mandl, K. D., & Kohane, I. S. (2014). Finding the missing link for big biomedical data. Jama, 311(24), 2479-2480.
Zhang, Y., Qiu, M., Tsai, C. W., Hassan, M. M., & Alamri, A. (2015). Health-CPS: Healthcare cyber-physical system assisted by cloud and big data. IEEE Systems Journal.

Our Amazing Features

delivery

No missing deadline risk

No matter how close the deadline is, you will find quick solutions for your urgent assignments.

work

100% Plagiarism-free content

All assessments are written by experts based on research and credible sources. It also quality-approved by editors and proofreaders.

time

500+ subject matter experts

Our team consists of writers and PhD scholars with profound knowledge in their subject of study and deliver A+ quality solution.

subject

Covers all subjects

We offer academic help services for a wide array of subjects.

price

Pocket-friendly rate

We care about our students and guarantee the best price in the market to help them avail top academic services that fit any budget.

Not sure yet?

Get in touch with us or

get free price quote.

Get A Free Quote