Who Runs? Psychological, Physiological and Pathophysiological Aspects of Recreational Endurance Athletes
... Machine learning: trends, perspectives, and prospects. Science 349, 255–260. doi: 10.1126/science.aaa8415 Stevinson ... pubmed/fdt082 doi: 10.1093/pubmed/fdt082 Teixeira, P. J., Carraca, E. V., Markland, D., Silva, M. N., and Ryan ...
Biomedical Computing for Breast Cancer Detection and Diagnosis
... Machine learning : Trends , perspectives , and prospects . Science , 349 ( 6245 ) , 255-260 . doi : 10.1126cience ... PubMed doi : 10.100700330-009-1588 - y PMID : 19727744 Kerlikowske , K. , Grady , D. , Rubin , S. M. , Sandrock ...
Nanocomposites for Sustainable Wastewater Treatment
... PubMed: 34641266 Ajith MP, Rajamani P (2021) Nanotechnology for water purification—current trends and challenges. J ... Machine learning for property predic- tion and optimization of polymeric nanocomposites: a state-of-the-art ...
Software Engineering: Emerging Trends and Practices in System Development
... Learning and the growing need for process optimization in medical areas, this project serves as a contribution to ... pubmed.ncbi.nlm.nih.gov/32030660/. Acesso em: 14 mar. 2024 Cheng, J., et al.: Resganet: residual group attention ...
Orthodontics: Diagnosis and Management of Malocclusion and Dentofacial Deformities, Vol 1&2 - Set - E-Book
... PubMed PMID: 4504536. 4. Ricketts RM. An update on the status of computerised cephalometrics. Aust Orthod J 1978;5(3):89–104. PubMed PMID: 285711. 5. Ricketts RM. Perspectives in the clinical application of cephalometrics. The first ...
Clinical Neurotechnology meets Artificial Intelligence
... machine? Int J Law Psychiatry. 2019;65:101399. PubMed PMID: 30449603. Epub 2018/11/20. 6. Peacocke C. Holistic explanation: action, space, interpretation. Oxford: Clarendon Press; 1979. p. 106–18. 7. Aguilar JH, Buckareff AA. The causal ...
Sustainable Strategic Business Infrastructure Development and Contemporary Digital Practices in Industry 5.0
... [PubMed] [CrossRef] [Google Scholar]. Popov, V., Lobanov, M., Stepanov, S., Qi, Y., Muller-Kamskii, G., Popova, E ... learning- enabled geometric constraints and phase unwrapping for single-shot absolute 3D shape measurement. APL ...
Trends and Advancements of Image Processing and Its Applications
... [PubMed] 12. U. Kose, J.A. Alzubi, Deep learning for cancer diagnosis, https://www.springer.com/gp/boo k ... perspectives. IEEE Trans. Pattern Anal. Mach. Intell 35, 1798–1828 (2013) [Google Scholar] [CrossRef] [PubMed] 18. Y. LeCun ...
Perspectives in digital health and big data in medicine: Current trends, professional challenges, and ethical, legal, and social implications
... PubMed 1,058 EMBASE 505 Cochrane Library 4,878 records after duplicates removed 220 full - text articles assessed ... machine learning , respectively ; 3 ) a comprehensive evaluation and comparison of current hypoglycemia ...
HEALTHCARE WITH MACHINE LEARNING
This book takes very complex subjects and makes them comprehensible or actionable for readers. The book is intended to raise awareness about machi.
Machine Learning in Healthcare
This new volume explores the integration of machine learning in healthcare, which has transformed technology for disease diagnosis, treatment, and management.
Machine Learning in Healthcare
This new book, Machine Learning in Healthcare: Advances and Prospects, explores the complex relationship between data science and medical science, highlighting the significant impact of machine learning algorithms in multiple areas of ...
Explainable Machine Learning in Medicine
This book covers a variety of advanced communications technologies that can be used to analyze medical data and can be used to diagnose diseases in clinic centers.
Machine Learning and the Internet of Medical Things in Healthcare
It also presents the concepts of the Internet of Things, the set of technologies that develops traditional devices into smart devices. Finally, the book offers research perspectives, covering the convergence of machine learning and IoT.
Machine Learning for Healthcare Systems
This book provides various insights into machine learning techniques in healthcare system data and its analysis.
Machine Learning with Health Care Perspective
This unique book introduces a variety of techniques designed to represent, enhance and empower multi-disciplinary and multi-institutional machine learning research in healthcare informatics.