Machine Learning for Healthcare Diagnostics

  • K. Kalaiselvi
  • M. Deepika
Part of the Learning and Analytics in Intelligent Systems book series (LAIS, volume 13)


Currently healthcare domain relies more on computer technology. Medical diagnosis is an important task of intelligent systems. Machine learning systems are used to find the abnormalities at an early stage of disease diagnosis. Optimal and accurate diagnosis is a critical factor for identifying appropriate treatment. This chapter deals with the importance of Machine Learning systems in healthcare, also focuses on the types of ML systems. As the application of Machine Learning plays a vital part in public healthcare, the significance of role of ML in medical data analysis is widely discussed with few applications. Also, the available medical dataset used in ML are stated. Since the critical task in medical data analysis is the prediction of the accuracy results, the evaluation metrics used especially while dealing with healthcare data are also discussed.


Datasets Evaluation metrics Healthcare Machine learning Medical diagnosis 


Copyright information

© Springer Nature Switzerland AG 2020

Authors and Affiliations

  • K. Kalaiselvi
    • 1
  • M. Deepika
    • 1
  1. 1.Department of Computer ScienceVELS Institute of Science, Technology and Advanced StudiesChennaiIndia

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