Showing 21 - 40 results of 314 for search '"Natural language processing"', query time: 0.11s Refine Results
  1. 21

    Applications of Natural Language Processing and Large Language Models for Social Determinants of Health: Protocol for a Systematic Review by Swati Rajwal, Ziyuan Zhang, Yankai Chen, Hannah Rogers, Abeed Sarker, Yunyu Xiao

    Published 2025-01-01
    “… BackgroundIn recent years, the intersection of natural language processing (NLP) and public health has opened innovative pathways for investigating social determinants of health (SDOH) in textual datasets. …”
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  2. 22

    Adverse drug event detection using natural language processing: A scoping review of supervised learning methods. by Rachel M Murphy, Joanna E Klopotowska, Nicolette F de Keizer, Kitty J Jager, Jan Hendrik Leopold, Dave A Dongelmans, Ameen Abu-Hanna, Martijn C Schut

    Published 2023-01-01
    “…To reduce adverse drug events (ADEs), hospitals need a system to support them in monitoring ADE occurrence routinely, rapidly, and at scale. Natural language processing (NLP), a computerized approach to analyze text data, has shown promising results for the purpose of ADE detection in the context of pharmacovigilance. …”
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    Fault Diagnosis of Signal Equipment on the Lanzhou-Xinjiang High-Speed Railway Using Machine Learning for Natural Language Processing by Lei Shi, Yulin Zhu, Youpeng Zhang, Zhongji Su

    Published 2021-01-01
    “…In this paper, a method based on natural language processing (NLP) was adopted to analyze and classify this information. …”
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    Psychological and Behavioral Insights From Social Media Users: Natural Language Processing–Based Quantitative Study on Mental Well-Being by Xingwei Yang, Guang Li

    Published 2025-01-01
    “…MethodsWe extracted language patterns via natural language processing approaches that facilitate understanding contextual and psychological factors, such as affective patterns and personality traits linked with depression. …”
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    Context-dependent similarity analysis of analogue series for structure–activity relationship transfer based on a concept from natural language processing by Atsushi Yoshimori, Jürgen Bajorath

    Published 2025-01-01
    “…Central to the approach is the assessment of context-dependent similarity for substituents, a new concept in cheminformatics, which is based upon vector embeddings and word pair relationships adapted from natural language processing.…”
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