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Revolutionizing Healthcare: The Role of Machine Learning in the …

WebTraditional healthcare systems have grappled with meeting the diverse needs of millions of patients, resulting in inefficiencies and suboptimal outcomes. …

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URL: https://jaigs.org/index.php/JAIGS/article/view/21

Exploring the Impact of Artificial Intelligence in Healthcare

WebThe integration of artificial intelligence (AI) applications has revolutionized healthcare. This study conducts a comprehensive literature review to elucidate the …

Category: Health Go Health

Exploring the Impact of Artificial Intelligence in Healthcare

WebHealth systems rely on robust disease management protocols and evidence-based care strategies to address needs and standardize practices in line with industrial healthcare …

Category: Health Go Health

Revolutionizing Healthcare: The Role of Machine Learning in …

WebHealth Sector Mithun Sarker1 1Independent Researcher Beaumont, Texas, United States Abstract Traditional healthcare systems have grappled with meeting the diverse needs of …

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Revolutionizing Healthcare: The Role of Machine Learning in the …

WebTraditional healthcare systems have grappled with meeting the diverse needs of millions of patients, resulting in inefficiencies and suboptimal outcomes. …

Category: Health Go Health

AI in Healthcare: Revolutionizing Patient Care with Predictive

WebAI facilitates remote patient monitoring, allowing healthcare providers to track patients' vital signs and health metrics in real-time. Predictive analytics enable the identification of …

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Implementation of DevOps in healthcare systems Journal of …

WebThe integration of DevOps practices within healthcare systems has emerged as a promising approach to enhance agility, efficiency, and reliability in delivering …

Category: Health Go Health

Implementation of DevOps in healthcare systems

Webprovision. One of the most effective elements of the health care systems that are transforming is the use of DevOps (Development and Operations) methods (Yarlagadda, …

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Investigating State-of-the-Art Frontiers in Artificial …

Webalgorithms can sift through vast troves of medical data, such as electronic health records and medical images, to discern patterns and trends conducive to more accurate …

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Revolutionizing Healthcare: The Role of Machine Learning in the …

WebReturn to Article Details Revolutionizing Healthcare: The Role of Machine Learning in the Health Sector Download Download PDF

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Meta-Learning: Adaptive and Fast Learning Systems

WebMeta-learning has emerged as a powerful paradigm in machine learning, enabling adaptive and fast learning systems capable of efficiently acquiring knowledge …

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Navigating the Role of Reference Data in Financial Data …

Webambiguous or inconsistent data can hinder disease trend detection, impacting public health responses. Value, contextualizing data for decision-making, underscores the significance …

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Cultivating Privacy in Collaborative Data Sharing through Auto …

WebEnsuring privacy in machine learning through collaborative data sharing is imperative for organizations aiming to leverage collective data without compromising …

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Vol. 2 No. 1 (2024): Advancements in Artificial intelligence: From

WebVolume 2, Issue 1 of The Journal of Artificial Intelligence General Science (JAIGS) delves into the theme of "Advancements in Artificial Intelligence: From Theory to Application."

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Interdisciplinary Outlook: Integrating Artificial Intelligence …

Webagriculture, enhance ocean health, manage water resources, and enhance weather forecasting and disaster resiliency [3]. However, the use of AI in sustainability also raises …

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Constructing Executing and Overcoming Challenges in Distributed …

WebFederated learning stands out as a promising approach within the realm of distributed artificial intelligence (AI) systems, facilitating collaborative model training …

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Machine Learning Algorithms Scaling on Large-Scale Data …

WebScalability is a critical aspect of deploying machine learning (ML) algorithms on large-scale data infrastructure. As datasets grow in size and complexity, organizations …

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Harnessing Technology for Environmental Sustainability: …

Webpowered systems can analyze soil conditions, weather patterns, and crop health data to optimize irrigation, fertilizer use, and pest control, leading to more efficient and …

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Dynamic Resource Allocation for AI/ML Applications in Edge …

WebThis scholarly paper introduces an extensive architectural framework and optimization strategies designed specifically for dynamic resource allocation in edge …

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Unlocking the Potential of Mobile-Edge Cloud: A Comprehensive …

WebWith the rapid expansion of the Internet of Things (IoT), the demand for computational resources continues to soar, necessitating innovative solutions to address …

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Cybersecurity Threat Detection using Machine Learning and …

WebCybercriminals continually develop innovative strategies to confound and frustrate their victims, necessitating constant vigilance to protect the availability, …

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