Description

Book Synopsis

In line with advances in digital and computing systems, artificial intelligence (AI) and machine learning (ML) technologies have transformed many aspects of medical and healthcare services, delivering tangible benefits to patents and the general public. This book is a sequel of the edition on “Artificial Intelligence and Machine Learning for Healthcare”. The first volume is focused on utilization of AI and ML for image and data analytics in the medical and healthcare domains. In this second volume, emerging methodologies and future trends in AI and ML for advancing medical treatments and healthcare services are presented. The selected studies in this book provide readers a glimpse on current progresses in AI and ML for undertaking a variety of healthcare-related tasks. The advances in AI and ML technologies for future healthcare are also discussed, shedding light on the potential of AI and ML to realize the next-generation medical treatments and healthcare services for the betterment of our global society.




Table of Contents
Artificial Intelligence for the future of medicine.- A Survival Analysis Guide in Oncology.- Social Media Sentiment Analysis related to COVID-19 Vaccinations.- Healthcare support using data mining: A case study on stroke prediction.

Artificial Intelligence and Machine Learning for

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Order before 4pm today for delivery by Fri 19 Dec 2025.

A Hardback by Chee Peng Lim, Ashlesha Vaidya, Yen-Wei Chen

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    View other formats and editions of Artificial Intelligence and Machine Learning for by Chee Peng Lim

    Publisher: Springer International Publishing AG
    Publication Date: 30/09/2022
    ISBN13: 9783031111693, 978-3031111693
    ISBN10: 3031111699

    Description

    Book Synopsis

    In line with advances in digital and computing systems, artificial intelligence (AI) and machine learning (ML) technologies have transformed many aspects of medical and healthcare services, delivering tangible benefits to patents and the general public. This book is a sequel of the edition on “Artificial Intelligence and Machine Learning for Healthcare”. The first volume is focused on utilization of AI and ML for image and data analytics in the medical and healthcare domains. In this second volume, emerging methodologies and future trends in AI and ML for advancing medical treatments and healthcare services are presented. The selected studies in this book provide readers a glimpse on current progresses in AI and ML for undertaking a variety of healthcare-related tasks. The advances in AI and ML technologies for future healthcare are also discussed, shedding light on the potential of AI and ML to realize the next-generation medical treatments and healthcare services for the betterment of our global society.




    Table of Contents
    Artificial Intelligence for the future of medicine.- A Survival Analysis Guide in Oncology.- Social Media Sentiment Analysis related to COVID-19 Vaccinations.- Healthcare support using data mining: A case study on stroke prediction.

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