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Identifying Diseases and Diagnosis Using Machine Learning

  • K. Kalaiselvi
  • D. KarthikaEmail author
Chapter
  • 17 Downloads
Part of the Learning and Analytics in Intelligent Systems book series (LAIS, volume 13)

Abstract

Machine learning is once a computer system has been trained to identify patterns by provided it with information and a set of rules to help recognize that data. We demand the process of knowledge ‘training’ and the output that this method produces is called a ‘model’. The possible of ML in this area is meaningfully from top to bottom meanwhile it delivers us with computational approaches for accruing, altering and informing information in smart medical duplicate understanding systems, and, in specific, knowledge machines that will benefit us to tempt information from instances or information. This Chapter is selected to describe an inconsistency of groupings calculated to describe, rise, and approve multi-disciplinary and multi-institutional machine learning exploration in healthcare Perceptive. While the healthcare part is certainty transformed by means of the ability to uppermost huge dimensions of data about separate patients, the enormous volume of information certainty for human beings to scrutinizes. To identify and diagnosing diseases using Machine learning, brings a method to mechanical discovery of outlines and aim about information, which permits healthcare experts to interchange the adapted care known as precision medicine.

Keywords

Machine learning (ML) Learning healthcare systems (LHS) Machine learning algorithms Population health management Disease diagnostics 

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Copyright information

© Springer Nature Switzerland AG 2020

Authors and Affiliations

  1. 1.Department of Computer ScienceVELS Institute of Science Technology & Advanced StudiesChennaiIndia

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