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Machine Learning Solutions in Smart Healthcare

Publication Type : Book Chapter

Publisher : IGI Global

Source : Advances in Computational Intelligence and Robotics

Url : https://doi.org/10.4018/979-8-3693-4326-5.ch013

Campus : Faridabad

School : School of Artificial Intelligence

Year : 2024

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.

Cite this Research Publication : Vivek Patel, Vijayshri Chaurasia, Ebtasam Ahmad Siddiqui, Shashikant P. Patole, Rajesh Mahadeva, Machine Learning Solutions in Smart Healthcare, Advances in Computational Intelligence and Robotics, IGI Global, 2024, https://doi.org/10.4018/979-8-3693-4326-5.ch013

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