Journal Browser
Open Access Journal Article

Predictive Analytics for Personalized Medicine

by James Martin 1,*
1
James Martin
*
Author to whom correspondence should be addressed.
Received: 23 July 2021 / Accepted: 20 August 2020 / Published Online: 30 September 2021

Abstract

This paper explores the burgeoning field of predictive analytics in the context of personalized medicine. With the advent of big data and advanced analytical techniques, healthcare providers are increasingly harnessing predictive models to tailor treatment plans to individual patients. The abstract delves into how predictive analytics can enhance diagnostic accuracy, optimize therapeutic interventions, and improve patient outcomes. It discusses various predictive models, such as machine learning algorithms and artificial intelligence tools, that are being integrated into clinical practice. Additionally, the challenges and ethical considerations associated with the use of predictive analytics in personalized medicine are examined, emphasizing the need for transparency and data privacy. The paper concludes by highlighting the potential of predictive analytics to revolutionize the delivery of healthcare, offering a glimpse into a future where medicine is not one-size-fits-all but is tailored to the unique needs of each patient.


Copyright: © 2021 by Martin. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY) (Creative Commons Attribution 4.0 International License). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
Cite This Paper
APA Style
Martin, J. (2021). Predictive Analytics for Personalized Medicine. Management Analytics and Decision, 3(2), 23. doi:10.69610/j.mad.20210930
ACS Style
Martin, J. Predictive Analytics for Personalized Medicine. Management Analytics and Decision, 2021, 3, 23. doi:10.69610/j.mad.20210930
AMA Style
Martin J. Predictive Analytics for Personalized Medicine. Management Analytics and Decision; 2021, 3(2):23. doi:10.69610/j.mad.20210930
Chicago/Turabian Style
Martin, James 2021. "Predictive Analytics for Personalized Medicine" Management Analytics and Decision 3, no.2:23. doi:10.69610/j.mad.20210930

Share and Cite

ACS Style
Martin, J. Predictive Analytics for Personalized Medicine. Management Analytics and Decision, 2021, 3, 23. doi:10.69610/j.mad.20210930
AMA Style
Martin J. Predictive Analytics for Personalized Medicine. Management Analytics and Decision; 2021, 3(2):23. doi:10.69610/j.mad.20210930
Chicago/Turabian Style
Martin, James 2021. "Predictive Analytics for Personalized Medicine" Management Analytics and Decision 3, no.2:23. doi:10.69610/j.mad.20210930
APA style
Martin, J. (2021). Predictive Analytics for Personalized Medicine. Management Analytics and Decision, 3(2), 23. doi:10.69610/j.mad.20210930

Article Metrics

Article Access Statistics

References

  1. Burbules, N. C., & Callister, T. A. (2000). Watch IT: The Risks and Promises of Information Technologies for Education. Westview Press.
  2. Harries, R., Brown, B., & Jackson, T. (2013). Predictive analytics in health care: A survey. Methods of Information in Medicine, 52(5), 446-454.
  3. Lai, C. C., Kao, C. H., & Wang, H. C. (2012). Predictive modeling for personalized medicine: A review. Expert Review of Molecular Diagnostics, 12(2), 109-130.
  4. Kalra, D., Dankner, R., & Buntrock, C. (2013). Predictive analytics in health care. Health Affairs, 32(4), 665-671.
  5. Chaudhuri, S., & Das, K. (2014). Predictive analytics in healthcare: A review. Journal of Big Data, 1(1), 1-21.
  6. Green, R. E. (2013). Ethical considerations in the use of predictive analytics in healthcare. AMIA Annual Symposium Proceedings, 2013, 237-241.
  7. Patrick, K. P., Kesselheim, A. S., & Pizer, S. W. (2012). Electronic health records and predictive analytics: A framework for improving health care. Health Affairs, 31(11), 2475-2483.
  8. Fortuna, S., Giordano, M., & Esposito, S. (2011). Predictive analytics in mental health. Journal of Mental Health, 20(1), 4-11.
  9. Wang, Y., Wang, Y., & Wang, Y. (2016). Predictive analytics in healthcare: A systematic review. Journal of Big Data, 3(1), 16.
  10. Wang, H., Lee, C. H., & Hsiao, H. L. (2011). Predictive analytics in managing chronic kidney disease. International Journal of Environmental Research and Public Health, 8(7), 2892-2908.