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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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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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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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Clinical Event Knowledge Graphs: Enriching Healthcare Event Data with Entities and Clinical Concepts - Research Paper
Clinical processes include admission, discharge, medication administration, diagnostic testing, and others. Process mining promises to provide...
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European Clinical Case Corpus
Interpreting information in medical documents has become one of the most relevant application areas for language technologies. However, despite the...
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Metadata for Clinical Narrative
The purpose of the current work is to develop metadata for clinical narrative information. For the metadata development, studies were conducted to...
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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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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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Aortic Segmentations and Their Possible Clinical Benefits
Computed tomography angiography (CTA) studies of the thoracic and abdominal aorta are very common in the routine clinical practice. Aortic diseases...
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Intelligent Analytical Randomization of Clinical Trials
Patients are assigned randomly to treatment groups in clinical studies. Artificial intelligence is proving to be an excellent instrument that has a...
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Autoencoder-Based Prediction of ICU Clinical Codes
Availability of diagnostic codes in Electronic Health Records (EHRs) is crucial for patient care as well as reimbursement purposes. However, entering...
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Machine Learning in Clinical Neuroimaging 6th International Workshop, MLCN 2023, Held in Conjunction with MICCAI 2023, Vancouver, BC, Canada, October 8, 2023, Proceedings
This book constitutes the refereed proceedings of the 6th International Workshop on Machine Learning in Clinical Neuroimaging, MLCN 2023, held in...
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Clinical Image-Based Procedures 11th Workshop, CLIP 2022, Held in Conjunction with MICCAI 2022, Singapore, September 18, 2022, Proceedings
This book constitutes the proceedings of the 11th Workshop on Clinical Image-Based Procedures, CLIP 2022, which was held in conjunction with MICCAI...
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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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Churn Prediction of Clinical Decision Support Recommender System
The clinical decision support systems (CDSS) are advanced technologies intended to facilitate caregivers in making diagnostic decisions regarding...
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Clinical Pixel Feature Recalibration Module for Ophthalmic Image Classification
Ophthalmic image examination has become a commonly-acknowledged way for ocular disease screening and diagnosis. Clinical features extracted from...
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Revisiting N-CNN for Clinical Practice
This paper revisits the Neonatal Convolutional Neural Network (N-CNN) by optimizing its hyperparameters and evaluating how they affect its...
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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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Clinical Dialogue Transcription Error Correction with Self-supervision
A clinical dialogue is a conversation between a clinician and a patient to share medical information, which is critical in clinical decision-making....