| 書名 | 作者 | 出版年 | 查看 | 回報錯誤連結 |
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| Applied machine learning for assisted living / |
Zia Uddin. |
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| Deep learning in healthcare :paradigms and applications / |
Yen-Wei Chen, Lakhmi C. Jain. |
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| Machine learning and AI for healthcare :big data for improved health outcomes / |
Arjun Panesar. |
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| Machine learning with health care perspective :machin learning and healthcare / |
Vishal Jain, Jyotir Moy Chatterjee. |
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| Artificial intelligence for innovative healthcare informatics / |
Shabir Ahmad Parah, Mamoon Rashid, Vijayakumar Varadarajan. |
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| Next generation healthcare informatics / |
B. K. Tripathy, Pawan Lingras, Arpan Kumar Kar, Chiranji Lal Chowdhary. |
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| Deep learning for medical decision support systems / |
Utku Kose, Omer Deperlioglu, Jafar Alzubi, Bogdan Patrut. |
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| Artificial intelligence-based healthcare systems / |
Manju, Sandeep Kumar, Sardar M. N. Islam. |
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| AI applications for disease diagnosis and treatment |
Rajae El Ouazzani, Muhammed Fattah, and Nabil Benamar, editors. |
2022 |
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| Artificial intelligence in medical sciences and psychology :with application of machine language, computer vision, and NLP techniques / |
Tshepo Chris Nokeri. |
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| Computational intelligence in healthcare / |
Amit Kumar Manocha, Shruti Jain, Mandeep Singh, Sudip Paul. |
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| Artificial intelligence and machine learning for healthcare. |
Chee Peng Lim, Ashlesha Vaidya, Yen-Wei Chen, Vaishnavi Jain, Lakhmi C. Jain. |
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| Machine learning in radiation oncology ::theory and applications / |
Issam El Naqa, Ruijiang Li, Martin J. Murphy. |
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| Explainable machine learning for multimedia based healthcare applications / |
M. Shamim Hossain, Utku Kose, Deepak Gupta. |
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| Computational intelligence for COVID-19 and future pandemics :emerging applications and strategies / |
Utku Kose, Junzo Watada, Omer Deperlioglu, Jose Antonio Marmolejo Saucedo. |
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| Precision health and artificial intelligence :with privacy, ethics, bias, health equity, best practices, and case studies / |
Arjun Panesar. |
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| Artificial intelligence in medicine :applications, limitations and future directions / |
Manda Raz, Tam C. Nguyen, Erwin Loh. |
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| AI for disease surveillance and pandemic intelligence :intelligent disease detection in action / |
Arash Shaban-Nejad, Martin Michalowski, Simone Bianco. |
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| Iterative learning control for electrical stimulation and stroke rehabilitation / |
Chris T. Freeman, Eric Rogers, Jane H. Burridge, Ann-Marie Hughes, Katie L. Meadmore. |
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| The 2x2 matrix :contingency, confusion and the metrics of binary classification / |
A.J. Larner. |
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| The 2x2 matrix :contingency, confusion and the metrics of binary classification / |
A.J. Larner. |
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| Augmented intelligence in healthcare :a pragmatic and integrated analysis / |
Sushruta Mishra, Hrudaya Kumar Tripathy, Pradeep Mallick, Khaled Shaalan. |
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| Internet of things based smart healthcare :intelligent and secure solutions applying machine learning techniques / |
Suparna Biswas, Chandreyee Chowdhury, Biswaranjan Acharya, Chuan-Ming Liu. |
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| Machine learning in medicine ::a complete overview / |
Ton J. Cleophas, Aeilko H. Zwinderman. |
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| Deep learning and medical applications / |
Jin Keun Seo. |
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| Machine learning in medicine :a complete overview / |
Ton J. Cleophas, Aeilko H. Zwinderman. |
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| Radiomics and radiogenomics in neuro-oncology :first International Workshop, RNO-AI 2019, held in conjunction with MICCAI 2019, Shenzhen, China, October 13 : proceedings / |
Hassan Mohy-ud-Din, Saima Rathore. |
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| Deep learning and edge computing solutions for high performance computing / |
A. Suresh, Sara Paiva. |
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| Artificial intelligence and machine learning for COVID-19 / |
Fadi Al-Turjman. |
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| Machine learning for critical internet of medical things :applications and use cases / |
Fadi Al-Turjman, Anand Nayyar. |
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| Convolutional neural networks for medical applications / |
Teik Toe Teoh. |
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| Health information science :10th International Conference, HIS 2021, Melbourne, VIC, Australia, October 25-28, 2021 : proceedings / |
Siuly Siuly, Hua Wang, Lu Chen, Yanhui Guo, Chunxiao Xing. |
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