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The issues and trends in healthcare delivery are constantly changing. The COVID-19 pandemic is one recent issue that wreaked havoc on healthcare systems, causing a shortage of healthcare workers, high demand for medicines and supplies, and increased medical expenditure due to a lack of insurance. Other issues include rising healthcare costs and care fragmentation.
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Updated: Aug 27, 2025

A Metadata Extraction Approach for Clinical Case Reports to Enable Advanced Understanding of Biomedical Concepts
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Natural Language Processing for Smart Healthcare.

Binggui Zhou, Guanghua Yang, Zheng Shi

    IEEE Reviews in Biomedical Engineering
    |September 28, 2022
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    Summary

    Natural Language Processing (NLP) is vital for smart healthcare applications, analyzing human language to improve clinical practice, hospital management, and public health. This review explores NLP techniques and their applications in diverse healthcare scenarios.

    Area of Science:

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    • Health Informatics
    • Artificial Intelligence
    • Computational Linguistics

    Background:

    • Smart healthcare leverages artificial intelligence (AI) for advanced applications.
    • Natural Language Processing (NLP) is a key AI technology for analyzing and understanding human language in healthcare.

    Conclusions:

    • NLP is crucial for advancing smart healthcare solutions.
    • Future work should address current limitations and explore new directions in NLP for healthcare.