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Introduction to Natural Language Processing of Clinical Text
Clinical and biomedical natural language processing (NLP) has a wide range of practical applications in clinical and biomedical research, quality...
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Cross-Lingual Name Entity Recognition from Clinical Text Using Mixed Language Query
Cross-lingual Named Entity Recognition (Cross-Lingual NER) addresses the challenge of NER with limited annotated data in low-resource languages by...
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An Unsupervised Clinical Acronym Disambiguation Method Based on Pretrained Language Model
Clinical concept normalization plays a vital role in extracting information from clinical documents, specifically clinical notes. The presence of...
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Clinical Natural Language Processing in Secondary Use of EHR for Research
The rapid proliferation and implementation of electronic health record (EHR) systems have reshaped the documentation and management of patient data....
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Clinical Coding Based on Knowledge Enhanced Language Model and Attention Pooling
Clinical coding is obtaining a standard ICD code based on the patient’s electronic medical record (EMR) information, including diagnosis, procedure,...
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Domain-specific Language Pre-training for Dialogue Comprehension on Clinical Inquiry-Answering Conversations
There is growing interest in the automated extraction of relevant information from clinical dialogues. However, it is difficult to collect and...
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NLP Applications—Clinical Documents
This chapter examines the advancement of digitalization in healthcare, focusing on the critical role of natural language processing (NLP) in...
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On the Impact of the Vocabulary for Domain-Adaptive Pretraining of Clinical Language Models
Pretrained language models tailored to the target domain may improve predictive performance on downstream tasks. Such domain-specific language models...
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Beyond the Meaning of Words: Issues in Neuropragmatics, Clinical Pragmatics and Schizophrenic Language
Over the last decades, theoretical and empirical evidence, first provided by language pragmatics and then by clinical pragmatics and neuropragmatics,...
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Development of Clinical NLP Systems
The primary objective of this chapter is to offer an extensive overview of the development of clinical Natural Language Processing (NLP) systems. We...
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Masking Language Model Mechanism with Event-Driven Knowledge Graphs for Temporal Relations Extraction from Clinical Narratives
For many natural language processing systems, the extraction of temporal links and associations from clinical narratives has been a critical...
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Clinical Trials
Clinical trials prospectively compare different interventions in two or more groups. Such trials objectively measure health interventions’ safety,...
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Clinical Abbreviation Disambiguation Using Clinical Variants of BERT
Acronyms are commonly used in technical fields, such as science and medicine, but their potential expansions can be difficult to understand without...
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Teaching foundational language equity concepts in the pre-clinical curriculum
BackgroundDespite the prevalence of non-English languages in the US population, existing medical training to teach communication with linguistically...
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Large Language Model and Text Generation
Large language models (LLMs) are transformer-based neural network architectures pre-trained with language models as loss functions using extensive...
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Enhancing Search Engine Optimization in Healthcare and Clinical Domains with Natural Language Processing and Graph Techniques
Search Engine Optimization (SEO) is the art of refining a website to enhance its visibility in search engine results, capturing the attention of both...
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Speech and Language
The traditional view of the cerebellum as the sole coordinator of sensorimotor function has been substantially redefined during the past decades....
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Clinical Narratives and Their Characteristics
Medical sentiment analysis considers traditional medical documents, such as nursing notes, radiology reports, or prescriptions. These clinical...
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A distributable German clinical corpus containing cardiovascular clinical routine doctor’s letters
We present CARDIO:DE, the first freely available and distributable large German clinical corpus from the cardiovascular domain. CARDIO:DE encompasses...
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Natural language processing in Clinical Medicine
This Collection welcomes research on Natural Language Processing innovations to improving medical and population health outcomes, with a particular...
