Machine Learning and Deep Learning for Healthcare Data Processing and Analyzing
This Special Issue presents recent progress in applying machine learning and deep learning techniques to healthcare data analysis and clinical decision support. Modern healthcare systems generate extensive and diverse data sources, including physiological signals, medical imaging, electronic health...
Tallennettuna:
| Aineistotyyppi: | Online |
|---|---|
| Kieli: | englanti |
| Julkaistu: |
MDPI - Multidisciplinary Digital Publishing Institute
2026
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| Aiheet: | |
| Linkit: | ONIX_20260416T142754_9783725860418_30 |
| Tagit: |
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| _version_ | 1869514211520937984 |
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| collection | Directory of Open Access Books |
| description | This Special Issue presents recent progress in applying machine learning and deep learning techniques to healthcare data analysis and clinical decision support. Modern healthcare systems generate extensive and diverse data sources, including physiological signals, medical imaging, electronic health records, wearable sensor outputs, and multimodal patient monitoring streams. Deriving reliable clinical insights from these data demands approaches that are robust, interpretable, and efficient for real-time or resource-constrained environments. The contributions in this collection demonstrate innovative models and practical methodologies for addressing key challenges such as the detection of Parkinson’s disease, prediction of Alzheimer’s disease progression, forecasting clinical outcomes in microsurgical clipping of cerebral aneurysms, prediction of lumbar disc herniation, and the development of medical image-based decision support systems. Overall, the Special Issue highlights methods that improve diagnostic accuracy, streamline data processing workflows, and support integration into clinical and point-of-care practice. |
| format | Online |
| id | doab-20.500.12854ir-175125 |
| institution | Directory of Open Access Books |
| language | eng |
| publishDate | 2026 |
| publishDateRange | 2026 |
| publishDateSort | 2026 |
| publisher | MDPI - Multidisciplinary Digital Publishing Institute |
| publisherStr | MDPI - Multidisciplinary Digital Publishing Institute |
| record_format | ojs |
| spelling | doab-20.500.12854ir-1751252026-04-16T19:03:41Z Machine Learning and Deep Learning for Healthcare Data Processing and Analyzing Tripathy, Rajesh K. Liu, Haipeng Machine learning Deep learning Medical image processing Biomedical signal processing Data driven healthcare AI-assisted diagnostics thema EDItEUR::K Economics, Finance, Business and Management::KN Industry and industrial studies::KNT Media, entertainment, information and communication industries::KNTX Information technology industries This Special Issue presents recent progress in applying machine learning and deep learning techniques to healthcare data analysis and clinical decision support. Modern healthcare systems generate extensive and diverse data sources, including physiological signals, medical imaging, electronic health records, wearable sensor outputs, and multimodal patient monitoring streams. Deriving reliable clinical insights from these data demands approaches that are robust, interpretable, and efficient for real-time or resource-constrained environments. The contributions in this collection demonstrate innovative models and practical methodologies for addressing key challenges such as the detection of Parkinson’s disease, prediction of Alzheimer’s disease progression, forecasting clinical outcomes in microsurgical clipping of cerebral aneurysms, prediction of lumbar disc herniation, and the development of medical image-based decision support systems. Overall, the Special Issue highlights methods that improve diagnostic accuracy, streamline data processing workflows, and support integration into clinical and point-of-care practice. 2026-04-16T19:03:35Z 2026-04-16T19:03:35Z 2025 book ONIX_20260416T142754_9783725860418_30 9783725860418 9783725860425 https://directory.doabooks.org/handle/20.500.12854/175125 eng application/octet-stream Attribution 4.0 International https://mdpi.com/books/ https://mdpi.com/books/pdfview/book/12030 MDPI - Multidisciplinary Digital Publishing Institute 10.3390/books978-3-7258-6042-5 10.3390/books978-3-7258-6042-5 46cabcaa-dd94-4bfe-87b4-55023c1b36d0 9783725860418 9783725860425 218 CH open access |
| spellingShingle | Machine learning Deep learning Medical image processing Biomedical signal processing Data driven healthcare AI-assisted diagnostics thema EDItEUR::K Economics, Finance, Business and Management::KN Industry and industrial studies::KNT Media, entertainment, information and communication industries::KNTX Information technology industries Machine Learning and Deep Learning for Healthcare Data Processing and Analyzing |
| title | Machine Learning and Deep Learning for Healthcare Data Processing and Analyzing |
| title_full | Machine Learning and Deep Learning for Healthcare Data Processing and Analyzing |
| title_fullStr | Machine Learning and Deep Learning for Healthcare Data Processing and Analyzing |
| title_full_unstemmed | Machine Learning and Deep Learning for Healthcare Data Processing and Analyzing |
| title_short | Machine Learning and Deep Learning for Healthcare Data Processing and Analyzing |
| title_sort | machine learning and deep learning for healthcare data processing and analyzing |
| topic | Machine learning Deep learning Medical image processing Biomedical signal processing Data driven healthcare AI-assisted diagnostics thema EDItEUR::K Economics, Finance, Business and Management::KN Industry and industrial studies::KNT Media, entertainment, information and communication industries::KNTX Information technology industries |
| topic_facet | Machine learning Deep learning Medical image processing Biomedical signal processing Data driven healthcare AI-assisted diagnostics thema EDItEUR::K Economics, Finance, Business and Management::KN Industry and industrial studies::KNT Media, entertainment, information and communication industries::KNTX Information technology industries |
| url | ONIX_20260416T142754_9783725860418_30 |