Federated Learning In Health Care
Listing Websites about Federated Learning In Health Care
The future of digital health with federated learning
(Just Now) WEBAbstract. Data-driven machine learning (ML) has emerged as a promising approach for building accurate and robust statistical models from medical data, which is collected in huge volumes by modern
https://www.nature.com/articles/s41746-020-00323-1
Category: Medical Show Health
Federated Learning for Healthcare: Systematic Review and …
(8 days ago) WEBSystematic review of privacy-preserving distributed machine learning from federated databases in health care. JCO Clinical Cancer Informatics 4 (2020), 184 – 200. Google …
https://dl.acm.org/doi/10.1145/3501813
Category: Cancer Show Health
Federated Learning for Healthcare Informatics Journal of …
(Just Now) WEBFederated learning is a problem of training a high-quality shared global model with a central server from decentralized data scattered among large number of …
https://link.springer.com/article/10.1007/s41666-020-00082-4
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Federated machine learning in healthcare: A systematic …
(3 days ago) WEBFederated learning (FL) is a distributed machine learning framework that is gaining traction in view of increasing health data privacy protection needs. By …
https://www.cell.com/cell-reports-medicine/fulltext/S2666-3791(24)00042-9
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Federated Learning in Health care Using Structured …
(7 days ago) WEBWe initially identified 168 articles that contain FL and 1 of clinical, medical, or health care in either title or text on PubMed. We excluded review articles (n = 37), …
https://www.sciencedirect.com/science/article/pii/S2949813922000088
Category: Medical Show Health
Federated Learning in Health care Using Structured …
(9 days ago) WEBThe success of machine learning–based studies is largely subjected to accessing a large amount of data. However, accessing such data is typically not feasible within a single health system/hospital. Although …
https://www.akdh.org/article/S2949-8139(22)00008-8/fulltext
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A systematic review of federated learning applications for …
(9 days ago) WEBFederated learning (FL) offers a promising solution to these challenges, particularly in healthcare where patient data privacy is paramount. First developed in the mobile telecommunications industry, …
https://journals.plos.org/digitalhealth/article?id=10.1371/journal.pdig.0000033
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Federated Learning for Healthcare Informatics - PMC
(3 days ago) WEBFederated learning might be the tool to enable large-scale representative ML of EHR data and we discuss many studies which demonstrate this fact below. …
https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7659898/
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Federated Learning for Healthcare Domain - Pipeline, Applications …
(8 days ago) WEBThe health care applications mentioned below conduct or include a clinical workflow on a specific disease, analysis on drug sensitivity, an EHR linking platform, and cloud-based …
https://dl.acm.org/doi/10.1145/3533708
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Federated Learning for Healthcare: A Comprehensive Review - MDPI
(9 days ago) WEBRecent advancements in deep learning for healthcare and computer-aided laboratory services have sparked a renewed interest in making medical data more accessible. …
https://www.mdpi.com/2673-4591/59/1/230
Category: Medical Show Health
Federated Learning in Health care Using Structured Medical Data
(1 days ago) WEBFederated learning (FL) is a newly proposed machine learning framework for multicenter studies, tackling data-sharing issues across participant institutes. The …
https://www.sciencedirect.com/science/article/abs/pii/S2949813922000088
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Federated learning: a collaborative effort to achieve better medical
(3 days ago) WEBTo solve this problem, federated learning trains algorithms across multiple healthcare institutions to achieve better AI models through collaboration. A given …
https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7779924/
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Federated learning-based AI approaches in smart healthcare: …
(3 days ago) WEBThe provision of health care via the internet and technology is carried out by combining existing tools and assuring the quality of the services supplied . The spread of the …
https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9385101/
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Federated Learning in Health care Using Structured Medical Data
(1 days ago) WEBFederated Learning in Health care Using Structured Medical Data Adv Kidney Dis Health. 2023 Jan;30(1):4-16. doi: 10.1053/j.akdh.2022.11.007. Federated learning (FL) is a …
https://pubmed.ncbi.nlm.nih.gov/36723280/
Category: Medical Show Health
[2111.08834] Federated Learning for Smart Healthcare: A Survey
(2 days ago) WEBFederated Learning for Smart Healthcare: A Survey. Dinh C. Nguyen, Quoc-Viet Pham, Pubudu N. Pathirana, Ming Ding, Aruna Seneviratne, Zihuai Lin, …
https://arxiv.org/abs/2111.08834
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What Is Federated Learning in Health Care? And How Should …
(8 days ago) WEBData governance teams at health care institutions are already tasked with ensuring the availability of accurate, high quality, consistent, and compliant data. With …
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Federated Learning in Health care Using Structured Medical Data
(5 days ago) WEBFederated Learning in Health care Using Structured Medical Data. Advances in Kidney Disease and Health . 2023 Jan;30(1):4-16. doi: 10.1053/j.akdh.2022.11.007 Powered by …
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A survey on federated learning applications in healthcare, finance, …
(5 days ago) WEBThe paper also covers methods proposed to address the challenges in FL, including federated averaging, transfer learning, differential privacy, and secure multi …
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Applied Sciences Free Full-Text Analysis of Federated Learning
(1 days ago) WEBFederated learning (FL) has emerged as one of the de-facto privacy-preserving paradigms that can effectively work with decentralized data sources (e.g., …
https://www.mdpi.com/2076-3417/14/10/4100
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Precision and Robust Models on Healthcare Institution Federated
(6 days ago) WEBThis FL approach is beneficial for conducting large-scale clinical trials while safeguarding patient privacy across healthcare settings. It facilitates active engagement …
https://ieeexplore.ieee.org/document/10530010/
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Federated learning-based AI approaches in smart healthcare: …
(Just Now) WEBFederated Learning (FL), Artificial Intelligence (AI), and Explainable Artificial Intelligence (XAI) are the most trending and exciting technology in the intelligent …
https://link.springer.com/article/10.1007/s10586-022-03658-4
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Colorectal cancer health and care quality indicators in a federated
(2 days ago) WEBHospitals and healthcare providers should assess and compare the quality of care given to patients and based on this improve the care. In the Netherlands, …
https://bmcmedinformdecismak.biomedcentral.com/articles/10.1186/s12911-024-02526-y
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[2405.06784] Open Challenges and Opportunities in Federated …
(2 days ago) WEBThis survey explores the transformative impact of foundation models (FMs) in artificial intelligence, focusing on their integration with federated learning (FL) for …
https://arxiv.org/abs/2405.06784
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Federated Hierarchical Tensor Networks: a Collaborative Learning
(2 days ago) WEBHealthcare industries frequently handle sensitive and proprietary data, and due to strict privacy regulations, they are often reluctant to share data directly. In today's …
https://arxiv.org/abs/2405.07735
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Federated Learning for Healthcare Applications IEEE Journals
(6 days ago) WEBDue to the fast advancement of artificial intelligence (AI), centralized-based models have become critical for healthcare tasks like in medical image analysis and …
https://ieeexplore.ieee.org/document/10288131/
Category: Medical Show Health
Federated Learning in Health care Using Structured Medical Data
(4 days ago) WEBFederated learning (FL) 15 is a recently proposed framework to address potential data leakage issues in multicenter studies, and it has become a predominant topic among …
https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10208416/
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Dataset size versus homogeneity: A machine learning study on …
(3 days ago) WEBUsing ML to improve mental health care is a promising and growing research field. However, the lack of large datasets available hamper generalizability and cause …
https://journals.sagepub.com/doi/full/10.1177/20552076241248920
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FL-FD: Federated learning-based fall detection with multimodal …
(7 days ago) WEBFederated learning (FL) has become a learning paradigm favored by researchers because of its stronger privacy protection compared to machine for …
https://www.sciencedirect.com/science/article/pii/S1566253523002063
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Efficient Federated Learning for distributed NeuroImaging …
(8 days ago) WEBKeywords: Efficient Federated Learning, Neuro-imaging, Sparsity. 1 INTRODUCTION. Deep learning has transformed fields like computer vision, natural …
https://www.biorxiv.org/content/10.1101/2024.05.14.594167v1.full.pdf
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