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|a Artificial intelligence and machine learning for healthcare.
|n Vol. 2,
|p Emerging methodologies and trends /
|c Chee Peng Lim, Ashlesha Vaidya, Yen-Wei Chen, Vaishnavi Jain, Lakhmi C. Jain, editors.
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| 246 |
3 |
0 |
|a Emerging methodologies and trends
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|a Cham :
|b Springer,
|c [2023]
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|c ©2023
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|a Intelligent systems reference library ;
|v volume 229
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| 505 |
0 |
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|a 1. Artificial intelligence for the future of medicine -- 2. A survival analysis guide in oncology -- 3. Social media sentiment analysis related to COVID-19 vaccinations -- 4. Healthcare support using data mining: a case study on stroke prediction -- 5. A big data infrastructure in support of healthy and independent living: a real case application -- 6. Virtual reality-based rehabilitation gaming system -- 7. The use of serious games for developing social and communication skills in childrem with autism spectrum disorders-review -- 8. Deep learning-based coronary stenosis detection in x-ray angiography images: overview and future trends -- 9. Potential benefits of artificial intelligence in healthcare -- 10. Barriers of artificial intelligence in the health sector.
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| 520 |
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|a 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.
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| 504 |
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|a Includes bibliographical references.
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| 588 |
0 |
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|a Print version record.
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| 650 |
|
0 |
|a Artificial intelligence
|x Medical applications.
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| 650 |
|
0 |
|a Medical care
|x Data processing.
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| 650 |
|
0 |
|a Medical informatics.
|
| 650 |
|
0 |
|a Machine learning.
|
| 650 |
|
7 |
|a Artificial intelligence
|x Medical applications
|2 fast
|
| 650 |
|
7 |
|a Machine learning
|2 fast
|
| 650 |
|
7 |
|a Medical care
|x Data processing
|2 fast
|
| 650 |
|
7 |
|a Medical informatics
|2 fast
|
| 700 |
1 |
|
|a Chee, Peng Lim,
|e editor.
|
| 700 |
1 |
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|a Vaidya, Ashlesha,
|e editor.
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| 700 |
1 |
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|a Chen, Yen-Wei,
|e editor.
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| 700 |
1 |
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|a Jain, Vaishnavi,
|e editor.
|
| 700 |
1 |
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|a Jain, L. C.,
|e editor.
|1 https://isni.org/isni/0000000114505286
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| 776 |
0 |
8 |
|i Print version:
|t Artificial intelligence and machine learning for healthcare. Vol. 2, Emerging methodologies and trends.
|d Cham : Springer, 2022
|z 9783031111693
|w (OCoLC)1338670216
|
| 830 |
|
0 |
|a Intelligent systems reference library ;
|v v. 229.
|
| 856 |
4 |
0 |
|u https://holycross.idm.oclc.org/login?auth=cas&url=https://link.springer.com/10.1007/978-3-031-11170-9
|y Click for online access
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