What does this research mean for the field?

Natural language processing is an essential technology that enables diverse smart healthcare applications across clinical practice, hospital management, public health, and drug development. Novelty: ClaimNovelty.SYNTHESIS. Consensus alignment: ConsensusAlignment.NEUTRAL.

What question did this study set out to answer?

This work aims to explore the integration of natural language processing in smart healthcare applications and its implications.

September 28, 2022IEEE Reviews in Biomedical Engineering

Natural Language Processing for Smart Healthcare

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Authors

BZBinggui ZhouImperial College London GYGuanghua YangJinan University ZSZheng ShiJinan University

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Implication

Review highlights NLP's role in enhancing smart healthcare across various applications and challenges.

Key Points

This work aims to explore the integration of natural language processing in smart healthcare applications and its implications.
Review existing studies on NLP in smart healthcare focused on techniques and applications.
Elaborate on NLP approaches and the NLP pipeline in healthcare contexts.
Discuss NLP applications in clinical practice, hospital management, personal care, public health, and drug development.
NLP significantly enhances communication in clinical practices, improving patient interactions.
NLP tools facilitate hospital management by streamlining administrative tasks and data analysis.
In public health, NLP aids in monitoring and tackling issues such as the COVID-19 pandemic and mental health challenges.

Cite This Study

Zhou et al. (2022) studied this question.

synapsesocial.com/papers/6a0db6bb68ddba849a09da2d https://doi.org/10.1109/rbme.2022.3210270

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Natural Language Processing for Smart Healthcare

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Implication

Key Points

Cite This Study

Natural Language Processing for Smart Healthcare

Discussion

Member takes

Implication

Key Points

Cite This Study

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