| 書名 | 作者 | 出版年 | 查看 | 回報錯誤連結 |
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| Fundamentals of machine learning and deep learning in medicine / |
Reza Borhani, Soheila Borhani, Aggelos K. Katsaggelos. |
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| Trustworthy machine learning for healthcare :first International Workshop, TML4H 2023, virtual event, May 4, 2023 : proceedings / |
Hao Chen, Luyang Luo. |
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| System design for epidemics using machine learning and deep learning / |
G. R. Kanagachidambaresan, Dinesh Bhatia, Dhilip Kumar, Animesh Mishra. |
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| Introduction to deep learning for healthcare / |
Cao Xiao, Jimeng Sun. |
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| Advances in non-invasive biomedical signal sensing and processing with machine learning / |
Saeed Mian Qaisar, Humaira Nisar, Abdulhamit Subasi. |
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| Clinical learning and teaching innovations in nursing ::dedicated education units building a better future / |
Kay Edgecombe, Margaret Bowden. |
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| Active education for future doctors / |
Nomy Dickman, Barbara Schuster. |
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| Technical advancements of machine learning in healthcare / |
Hrudaya Kumar Tripathy, Sushruta Mishra, Pradeep Kumar Mallick, Amiya Ranjan Panda. |
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回報問題連結 |
| Researching medical education |
Jennifer Cleland, Steven Durning. |
2015 |
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| Human simulation for nursing and health professions |
editors, Linda Wilson, Leland Rockstraw. |
2012 |
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| Nursing knowledge and theory innovation :advancing the science of practice / |
Pamela G. Reed, Nelma B. Crawford Shearer. |
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| Machine learning and AI for healthcare :big data for improved health outcomes / |
Arjun Panesar. |
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| Innovations in biomedical engineering / |
Ewaryst Tkacz, Marek Gzik, Zbigniew Paszenda, Ewa Pietka. |
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| Meta learning with medical imaging and health informatics applications |
Hien Van Nguyen, Ronald Summers and Rama Chellappa. |
2023 |
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| Practical AI for healthcare professionals :machine learning with Numpy, Scikit-learn, and TensorFlow / |
Abhinav Suri. |
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| Machine learning, big data, and IoT for medical informatics |
Pardeep Kumar, Yugal Kumar and Mohamed A. Tawhid. |
2021 |
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