Machine Learning Solutions in Smart Healthcare: Features, Applications, and Challenges

Research output: Chapter in Book/Report/Conference proceedingChapterpeer-review

2 Scopus citations

Abstract

Machine learning (ML) techniques are widely used in medical practices and progressively evolving to make faster and more efficient systems. Recent advancements in ML are being done to make healthcare system more intelligent. In the current perspective the conventional healthcare system is directly dependent on hospitals and clinics, which is proven insufficient. Healthcare is one of the most growing areas where ML playing remarkable role as a solution to make automated and efficient framework. However, the ML based healthcare system is dependent on substantial data for healthy learning of it. In addition to this internet of things (IoT) can help to make a global healthcare platform. Although there is very limited medical data is available for training of ML healthcare system. In this chapter, we describe the current advances in ML technologies and their applications in healthcare.

Original languageBritish English
Title of host publicationOpen AI and Computational Intelligence for Society 5.0
Pages291-314
Number of pages24
ISBN (Electronic)9798369343272
DOIs
StatePublished - 1 Jan 2024

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