Artificial Intelligence and Machine Learning for Healthcare -

Artificial Intelligence and Machine Learning for Healthcare

Vol. 2: Emerging Methodologies and Trends
Buch | Hardcover
XIII, 273 Seiten
2022 | 1st ed. 2023
Springer International Publishing (Verlag)
978-3-031-11169-3 (ISBN)
171,19 inkl. MwSt

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.


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. 

Erscheinungsdatum
Reihe/Serie Intelligent Systems Reference Library
Zusatzinfo XIII, 273 p. 76 illus., 59 illus. in color.
Verlagsort Cham
Sprache englisch
Maße 155 x 235 mm
Gewicht 589 g
Themenwelt Informatik Theorie / Studium Künstliche Intelligenz / Robotik
Medizin / Pharmazie
Technik
Schlagworte Advanced Healthcare Systems • Artificial Intelligence • Computational Intelligence • Deep learning • Intelligent Systems • Intelligent Technology
ISBN-10 3-031-11169-9 / 3031111699
ISBN-13 978-3-031-11169-3 / 9783031111693
Zustand Neuware
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