Algorithms and Applications of Machine Learning Techniques for Healthcare
Improving human health and providing access to high-quality healthcare for everyone is a global concern. Modern technologies help to promote and maintain health, while avoiding unnecessary disabilities and premature health issues. Machine learning is a subfield of artificial intelligence, which is m...
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| Format: | Online |
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| Język: | angielski |
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MDPI - Multidisciplinary Digital Publishing Institute
2026
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| Hasła przedmiotowe: | |
| Dostęp online: | ONIX_20260416T142754_9783725865062_5 |
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| _version_ | 1869517450374021120 |
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| collection | Directory of Open Access Books |
| description | Improving human health and providing access to high-quality healthcare for everyone is a global concern. Modern technologies help to promote and maintain health, while avoiding unnecessary disabilities and premature health issues. Machine learning is a subfield of artificial intelligence, which is mainly defined as the capability of a machine to imitate “intelligent” human behavior. This capacity is being widely applied in many areas of our lives such as virtual personal assistants, self-driving cars, security cameras, product recommendations, or disaster alerts. With the union of machine learning and healthcare, researchers around the world have opened new horizons providing impressive advances in healthcare. Thus, a great number of works focus on areas such as patient diagnosis, automating health-related tasks, new treatments and drugs, improvements in diagnosis, cost reduction, better tracking, or telemedicine. However, despite the huge amount of work carried out, we are still very far from being able to consider machine learning to be integrated into healthcare. The aim of this Reprint is to enhance the state-of-the-art in this area significantly, improving the application of machine learning techniques for healthcare. |
| format | Online |
| id | doab-20.500.12854ir-175400 |
| 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-1754002026-04-16T20:42:46Z Algorithms and Applications of Machine Learning Techniques for Healthcare Núñez-Valdez, Edward Skin cancer diagnosis Machine learning Convolutional Neural Network (CNN) Adaptive boosting algorithm (AdaBoost) Principal component analysis (PCA) Support Vector Machine (SVM) Depression Wearables Prediction Mental healthcare Gradient–Laplacian attention modules Low-dose CT denoising Deep learning Medical image processing Vision transformers Medical imaging synthesis Polyp detection Text-to-image generation Image segmentation Generative AI Medical image synthesis Colorectal cancer detection Data augmentation Synthetic colonoscopy images DreamBooth Stable Diffusion Low-Rank Adaptation (LoRA) Polyp segmentation Feature Pyramid Network Vision Transformer Segment Anything Model Medical diagnostic models Healthcare AI Deep Learning (DL) Vulnerable AI Breast cancer detection Adversarial attacks Post-Attack Vulnerability Index (PAVI) Mitigation workflow Zero-shot learning Medical imaging Foundation models Acute aortic syndrome (AAS) Clinical data SMOTE method Feature extraction Principal Component Analysis (PCA) Relief method Correlation-based feature selection (CFS) Cancer incidence Data analysis Forecasting Canada Signal processing techniques Structural health monitoring Non-parametric time–frequency analysis Adaptive decomposition Deconvolution COVID-19 SARS-CoV-2 CT scans Convolutional neural network Graph neural networks Shapley values Interpretability Explainability Glaucoma diagnosis Convolutional neural networks Hippocampus segmentation Neurodegeneration biomarkers Nn-Unet 3D imaging Brain-age estimation Melanoma SLIC Border Embeddings Decoder Encoder Attention Autonomic nervous system Sympathetic and parasympathetic autonomic responses Iyengar yoga Wearable Benign paroxysmal positional vertigo (BPPV) Interrupted Time Series (ITS) Educational intervention Dix–Hallpike maneuver Supine Roll test Canalith Repositioning Maneuver (CRM) Pneumonia detection YOLOv11 Chest X-ray imaging Explainable AI Grad-CAM Record linkage Blocking Large language models N A thema EDItEUR::U Computing and Information Technology::UY Computer science Improving human health and providing access to high-quality healthcare for everyone is a global concern. Modern technologies help to promote and maintain health, while avoiding unnecessary disabilities and premature health issues. Machine learning is a subfield of artificial intelligence, which is mainly defined as the capability of a machine to imitate “intelligent” human behavior. This capacity is being widely applied in many areas of our lives such as virtual personal assistants, self-driving cars, security cameras, product recommendations, or disaster alerts. With the union of machine learning and healthcare, researchers around the world have opened new horizons providing impressive advances in healthcare. Thus, a great number of works focus on areas such as patient diagnosis, automating health-related tasks, new treatments and drugs, improvements in diagnosis, cost reduction, better tracking, or telemedicine. However, despite the huge amount of work carried out, we are still very far from being able to consider machine learning to be integrated into healthcare. The aim of this Reprint is to enhance the state-of-the-art in this area significantly, improving the application of machine learning techniques for healthcare. 2026-04-16T20:42:39Z 2026-04-16T20:42:39Z 2026 book ONIX_20260416T142754_9783725865062_5 9783725865062 9783725865079 https://directory.doabooks.org/handle/20.500.12854/175400 eng application/octet-stream Attribution 4.0 International https://mdpi.com/books/ https://mdpi.com/books/pdfview/book/12318 MDPI - Multidisciplinary Digital Publishing Institute 10.3390/books978-3-7258-6507-9 10.3390/books978-3-7258-6507-9 46cabcaa-dd94-4bfe-87b4-55023c1b36d0 9783725865062 9783725865079 402 CH open access |
| spellingShingle | Skin cancer diagnosis Machine learning Convolutional Neural Network (CNN) Adaptive boosting algorithm (AdaBoost) Principal component analysis (PCA) Support Vector Machine (SVM) Depression Wearables Prediction Mental healthcare Gradient–Laplacian attention modules Low-dose CT denoising Deep learning Medical image processing Vision transformers Medical imaging synthesis Polyp detection Text-to-image generation Image segmentation Generative AI Medical image synthesis Colorectal cancer detection Data augmentation Synthetic colonoscopy images DreamBooth Stable Diffusion Low-Rank Adaptation (LoRA) Polyp segmentation Feature Pyramid Network Vision Transformer Segment Anything Model Medical diagnostic models Healthcare AI Deep Learning (DL) Vulnerable AI Breast cancer detection Adversarial attacks Post-Attack Vulnerability Index (PAVI) Mitigation workflow Zero-shot learning Medical imaging Foundation models Acute aortic syndrome (AAS) Clinical data SMOTE method Feature extraction Principal Component Analysis (PCA) Relief method Correlation-based feature selection (CFS) Cancer incidence Data analysis Forecasting Canada Signal processing techniques Structural health monitoring Non-parametric time–frequency analysis Adaptive decomposition Deconvolution COVID-19 SARS-CoV-2 CT scans Convolutional neural network Graph neural networks Shapley values Interpretability Explainability Glaucoma diagnosis Convolutional neural networks Hippocampus segmentation Neurodegeneration biomarkers Nn-Unet 3D imaging Brain-age estimation Melanoma SLIC Border Embeddings Decoder Encoder Attention Autonomic nervous system Sympathetic and parasympathetic autonomic responses Iyengar yoga Wearable Benign paroxysmal positional vertigo (BPPV) Interrupted Time Series (ITS) Educational intervention Dix–Hallpike maneuver Supine Roll test Canalith Repositioning Maneuver (CRM) Pneumonia detection YOLOv11 Chest X-ray imaging Explainable AI Grad-CAM Record linkage Blocking Large language models N A thema EDItEUR::U Computing and Information Technology::UY Computer science Algorithms and Applications of Machine Learning Techniques for Healthcare |
| title | Algorithms and Applications of Machine Learning Techniques for Healthcare |
| title_full | Algorithms and Applications of Machine Learning Techniques for Healthcare |
| title_fullStr | Algorithms and Applications of Machine Learning Techniques for Healthcare |
| title_full_unstemmed | Algorithms and Applications of Machine Learning Techniques for Healthcare |
| title_short | Algorithms and Applications of Machine Learning Techniques for Healthcare |
| title_sort | algorithms and applications of machine learning techniques for healthcare |
| topic | Skin cancer diagnosis Machine learning Convolutional Neural Network (CNN) Adaptive boosting algorithm (AdaBoost) Principal component analysis (PCA) Support Vector Machine (SVM) Depression Wearables Prediction Mental healthcare Gradient–Laplacian attention modules Low-dose CT denoising Deep learning Medical image processing Vision transformers Medical imaging synthesis Polyp detection Text-to-image generation Image segmentation Generative AI Medical image synthesis Colorectal cancer detection Data augmentation Synthetic colonoscopy images DreamBooth Stable Diffusion Low-Rank Adaptation (LoRA) Polyp segmentation Feature Pyramid Network Vision Transformer Segment Anything Model Medical diagnostic models Healthcare AI Deep Learning (DL) Vulnerable AI Breast cancer detection Adversarial attacks Post-Attack Vulnerability Index (PAVI) Mitigation workflow Zero-shot learning Medical imaging Foundation models Acute aortic syndrome (AAS) Clinical data SMOTE method Feature extraction Principal Component Analysis (PCA) Relief method Correlation-based feature selection (CFS) Cancer incidence Data analysis Forecasting Canada Signal processing techniques Structural health monitoring Non-parametric time–frequency analysis Adaptive decomposition Deconvolution COVID-19 SARS-CoV-2 CT scans Convolutional neural network Graph neural networks Shapley values Interpretability Explainability Glaucoma diagnosis Convolutional neural networks Hippocampus segmentation Neurodegeneration biomarkers Nn-Unet 3D imaging Brain-age estimation Melanoma SLIC Border Embeddings Decoder Encoder Attention Autonomic nervous system Sympathetic and parasympathetic autonomic responses Iyengar yoga Wearable Benign paroxysmal positional vertigo (BPPV) Interrupted Time Series (ITS) Educational intervention Dix–Hallpike maneuver Supine Roll test Canalith Repositioning Maneuver (CRM) Pneumonia detection YOLOv11 Chest X-ray imaging Explainable AI Grad-CAM Record linkage Blocking Large language models N A thema EDItEUR::U Computing and Information Technology::UY Computer science |
| topic_facet | Skin cancer diagnosis Machine learning Convolutional Neural Network (CNN) Adaptive boosting algorithm (AdaBoost) Principal component analysis (PCA) Support Vector Machine (SVM) Depression Wearables Prediction Mental healthcare Gradient–Laplacian attention modules Low-dose CT denoising Deep learning Medical image processing Vision transformers Medical imaging synthesis Polyp detection Text-to-image generation Image segmentation Generative AI Medical image synthesis Colorectal cancer detection Data augmentation Synthetic colonoscopy images DreamBooth Stable Diffusion Low-Rank Adaptation (LoRA) Polyp segmentation Feature Pyramid Network Vision Transformer Segment Anything Model Medical diagnostic models Healthcare AI Deep Learning (DL) Vulnerable AI Breast cancer detection Adversarial attacks Post-Attack Vulnerability Index (PAVI) Mitigation workflow Zero-shot learning Medical imaging Foundation models Acute aortic syndrome (AAS) Clinical data SMOTE method Feature extraction Principal Component Analysis (PCA) Relief method Correlation-based feature selection (CFS) Cancer incidence Data analysis Forecasting Canada Signal processing techniques Structural health monitoring Non-parametric time–frequency analysis Adaptive decomposition Deconvolution COVID-19 SARS-CoV-2 CT scans Convolutional neural network Graph neural networks Shapley values Interpretability Explainability Glaucoma diagnosis Convolutional neural networks Hippocampus segmentation Neurodegeneration biomarkers Nn-Unet 3D imaging Brain-age estimation Melanoma SLIC Border Embeddings Decoder Encoder Attention Autonomic nervous system Sympathetic and parasympathetic autonomic responses Iyengar yoga Wearable Benign paroxysmal positional vertigo (BPPV) Interrupted Time Series (ITS) Educational intervention Dix–Hallpike maneuver Supine Roll test Canalith Repositioning Maneuver (CRM) Pneumonia detection YOLOv11 Chest X-ray imaging Explainable AI Grad-CAM Record linkage Blocking Large language models N A thema EDItEUR::U Computing and Information Technology::UY Computer science |
| url | ONIX_20260416T142754_9783725865062_5 |