Health Care Using Machine Learning-Aspects

  • K. Koteswara Rao
  • A. Sudhir Babu
  • K. Vijaya Kumar
  • M. Sai TejaswiniEmail author
  • S. K. Saira BhanuEmail author
Conference paper
Part of the Learning and Analytics in Intelligent Systems book series (LAIS, volume 3)


In this IT world people are working day and night in jobs and busy life, people are using gadgets, smartphones, Due this hectic schedules people are getting so many health issues These days, vast measure of information is accessible all over the place. Hence, it is essential to break down this information so as to separate some helpful data and to build up a calculation dependent on this examination. This can be accomplished through information mining and machine learning and it is a vital piece of man-made brainpower, which is utilized to plan calculations dependent on the information patterns and authentic connections between information. Machine learning is utilized in different fields, for example, bioinformatics, interruption location, Information recovery, amusement playing, showcasing, malware discovery, picture DE convolution, etc. This paper explains how machine Learning applicable in health care issues with different application territories.


Machine learning Algorithm Health care 


  1. 1.
    Auffray C, Balling R, Barrosso I, Bencze L, Benson M, Bergeron J, Bock C (2016) Making sense of big data in health research: towards an EU action plan. US National Library of Medicine National Institute of Health, 23 June, pp 8–71.
  2. 2.
    Dawson P, Gailis R, Meehan A (2015) Detecting disease outbreaks using a combined Bayesian network and particle filter approach. Accessed 17 July 2016
  3. 3.
    Hazelwood A (2003) ICD-9 CM to ICD-10 CM: implementation issues and challenges. Accessed 17 July 2016
  4. 4.
    Kelarev AV, Stranieri A, Yearwood JL, Jelinek HF (2012) Empirical study of decision trees and ensemble classifiers for monitoring of diabetes patients in pervasive healthcare. IEEE, 28 September, pp 441–446.
  5. 5.
    Loukides G, Denny JC, Malin B (2010) The disclosure of diagnosis codes can breach research participants’ privacy. PMC 17(3):322–327. Scholar
  6. 6.
    Okser S, Pahikkala T, Airola A, Salakoksi T, Ripatti S, Aittokallio T (2014) Regularized machine learning in the genetic prediction of complex traits. PLOS Genetics, 13 November.
  7. 7.
    An ZB, Zhang Y (2007) The Application Study of Machine Learning. Journal of Changzhi University 24(2):21–24Google Scholar
  8. 8.
    Alpaydin E (2014) An introduction to machine learning, PHI 3rd edn. The MIT Press, CambridgeGoogle Scholar
  9. 9.
    Flach P (2012) Machine learning: the art and science of algorithms that make sense of data. Cambridge University Press, CambridgeCrossRefGoogle Scholar
  10. 10.
    Kelleher JD, Mac Namee B, d’Arcy A (2015) Fundamentals of machine learning for predictive data analytics. The MIT Press, CambridgezbMATHGoogle Scholar
  11. 11.
  12. 12.
  13. 13.

Copyright information

© Springer Nature Switzerland AG 2020

Authors and Affiliations

  1. 1.Department of CSEPVP Siddhartha Institute of TechnologyVijayawadaIndia

Personalised recommendations