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Titlebook: Artificial Intelligence and Machine Learning in Public Healthcare; Opportunities and So KC Santosh,Loveleen Gaur Book 2021 The Author(s), u

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發(fā)表于 2025-3-21 17:50:38 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
期刊全稱Artificial Intelligence and Machine Learning in Public Healthcare
期刊簡(jiǎn)稱Opportunities and So
影響因子2023KC Santosh,Loveleen Gaur
視頻videohttp://file.papertrans.cn/163/162244/162244.mp4
發(fā)行地址Covers the state-of-the-art AI and machine learning (ML) tools for public health care in resource-constrained regions.Includes challenges and opportunities especially when we consider social factors.S
學(xué)科分類SpringerBriefs in Applied Sciences and Technology
圖書封面Titlebook: Artificial Intelligence and Machine Learning in Public Healthcare; Opportunities and So KC Santosh,Loveleen Gaur Book 2021 The Author(s), u
影響因子This book discusses and evaluates AI and machine learning (ML) algorithms in dealing with challenges that are primarily related to public health. It also helps find ways in which we can measure possible consequences and societal impacts by taking the following factors into account: open public health issues and common AI solutions (with multiple case studies, such as TB and SARS: COVID-19), AI in sustainable health care, AI in precision medicine and data privacy issues. Public health requires special attention as it drives economy and education system. COVID-19 is an example—a truly infectious disease outbreak. The vision of WHO is to create public health services that can deal with abovementioned crucial challenges by focusing on the following elements: health protection, disease prevention and health promotion. For these issues, in the big data analytics era, AI and ML tools/techniques have potential to improve public health (e.g., existing healthcare solutions and wellness services). In other words, they have proved to be valuable tools not only to analyze/diagnose pathology but also to accelerate decision-making procedure especially when we consider resource-constrained regions
Pindex Book 2021
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發(fā)表于 2025-3-21 22:11:12 | 只看該作者
Digital Communication: the Role of Contextseases (e.g. Tuberculosis (TB), COVID-19, etc.), mental health challenges, and motor vehicle accidents. Unlike the healthcare field, public health is further concerned about safeguarding the entire population. The focus of public health is to slash health inequalities. The fundamental concepts are t
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發(fā)表于 2025-3-22 05:56:49 | 只看該作者
Computer Games, Edutainment and Theme Parkshould be unceasingly invested in and enhanced. According to WHO, approximately 12.9 million healthcare workers will be scarce globally by 2035. In addition, around half of the world’s population wants access to primary healthcare. About a hundred million people will be needy because of healthcare ex
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發(fā)表于 2025-3-22 09:51:55 | 只看該作者
Digital Communication: the Role of Contextedure..The conjunction of AI and precision medicine pledges to transform healthcare. Precision medicine intends to customize care for individuals. The practice recognizes characteristics of patients with less common reactions to medication. The objective necessitates gaining access to substantial vo
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發(fā)表于 2025-3-22 14:04:05 | 只看該作者
Data Visualisation and Display Technologiesug discovery to healthcare delivery and is projected as a change-maker in healthcare. Apart from private healthcare, AI is speedily substituting traditional public healthcare systems to make enhanced healthcare accessible worldwide..With the increased integration of data-driven applications in our d
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發(fā)表于 2025-3-22 17:13:22 | 只看該作者
Data Visualisation and Display Technologiesr World War II, there is an upsurge in the progress of?chemotherapeutic agents, an extension of?public health practices, and profound innovations in microbiology and immunology, leading to substantial reductions in the prevalence of mortality and morbidity owing to infectious diseases. Researchers a
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發(fā)表于 2025-3-23 01:10:58 | 只看該作者
Digital Communication: the Role of Contextd it is also facing critique from its cynics and passion from die-hard evangelists. Economic forecasters have forecast fiery progress in AI-driven healthcare in the future times. With this exponential growth arises several challenges. It is necessary to explore the privacy, security, ethical aspects
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