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Artificial Intelligence and Machine Learning for Healthcare
Details
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.
Presents a sample of recent advances in the theory and applications of artificial intelligence paradigms Written in a coherent and well-founded way Case studies demonstrate the real world applications of AI in the early prognosis and diagnosis of disease
Inhalt
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.
Weitere Informationen
- Allgemeine Informationen
- GTIN 09783031111693
- Editor Chee Peng Lim, Ashlesha Vaidya, Yen-Wei Chen, Vaishnavi Jain, Lakhmi C. Jain
- Sprache Englisch
- Größe H241mm x B160mm x T22mm
- Jahr 2022
- EAN 9783031111693
- Format Fester Einband
- ISBN 3031111699
- Veröffentlichung 30.09.2022
- Titel Artificial Intelligence and Machine Learning for Healthcare
- Untertitel Vol. 2: Emerging Methodologies and Trends
- Gewicht 600g
- Herausgeber Springer
- Anzahl Seiten 288
- Lesemotiv Verstehen
- Genre Medical Books