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Machine Learning Advancements in E-Health: Transforming Digital Healthcare

Machine Learning Advancements in E-Health: Transforming Digital Healthcare

Pankaj Bhambri, Alex Khang
Copyright: © 2024 |Pages: 21
ISBN13: 9798369321058|EISBN13: 9798369321065
DOI: 10.4018/979-8-3693-2105-8.ch012
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MLA

Bhambri, Pankaj, and Alex Khang. "Machine Learning Advancements in E-Health: Transforming Digital Healthcare." Medical Robotics and AI-Assisted Diagnostics for a High-Tech Healthcare Industry, edited by Alex Khang, IGI Global, 2024, pp. 174-194. https://doi.org/10.4018/979-8-3693-2105-8.ch012

APA

Bhambri, P. & Khang, A. (2024). Machine Learning Advancements in E-Health: Transforming Digital Healthcare. In A. Khang (Ed.), Medical Robotics and AI-Assisted Diagnostics for a High-Tech Healthcare Industry (pp. 174-194). IGI Global. https://doi.org/10.4018/979-8-3693-2105-8.ch012

Chicago

Bhambri, Pankaj, and Alex Khang. "Machine Learning Advancements in E-Health: Transforming Digital Healthcare." In Medical Robotics and AI-Assisted Diagnostics for a High-Tech Healthcare Industry, edited by Alex Khang, 174-194. Hershey, PA: IGI Global, 2024. https://doi.org/10.4018/979-8-3693-2105-8.ch012

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Abstract

A technologically evolved environment confronts the healthcare business. However, machine learning (ML) technology could revolutionize patient care, diagnosis, and decision-making. This chapter examines machine learning advances that can be applied to e-health. It also discusses machine learning algorithms in predictive analytics, personalized medicine, and early disease diagnosis. The chapter also emphasizes how ML, medical robotics, and AI-assisted diagnostics may improve healthcare delivery. Machine learning advancements in electronic health (e-health) are studied through case studies and real-world applications to determine their practical applications. This chapter also tackles ethical issues and challenges in healthcare ML integration. Readers will understand how machine learning is changing e-health to provide more effective, individualized, and precise healthcare solutions. This exploration contributes to the conversation on incorporating advanced technology into healthcare, paving the way for digital healthcare's technological future.

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