AIMC Topic: Natural Language Processing

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FLAT: Fusing layer representations for more efficient transfer learning in NLP.

Neural networks : the official journal of the International Neural Network Society Aug 13, 2024
Parameter efficient transfer learning (PETL) methods provide an efficient alternative for fine-tuning. However, typical PETL methods inject the same structures to all Pre-trained Language Model (PLM) layers and only use the final hidden states for do...
Machine Learning Algorithms Natural Language Processing Humans Transfer, Psychology Language Neural Networks, Computer Deep Learning
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Exploring mechanobiology network of bone and dental tissue based on Natural Language Processing.

Journal of biomechanics Aug 13, 2024
Bone and cartilage tissues are physiologically dynamic organs that are systematically regulated by mechanical inputs. At cellular level, mechanical stimulation engages an intricate network where mechano-sensors and transmitters cooperate to manipulat...
Biomechanical Phenomena Algorithms Humans Natural Language Processing Databases, Factual Bone and Bones Tooth
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Mapping vaccine names in clinical trials to vaccine ontology using cascaded fine-tuned domain-specific language models.

Journal of biomedical semantics Aug 10, 2024
BACKGROUND: Vaccines have revolutionized public health by providing protection against infectious diseases. They stimulate the immune system and generate memory cells to defend against targeted diseases. Clinical trials evaluate vaccine performance, ...
Biological Ontologies Clinical Trials as Topic Unified Medical Language System Natural Language Processing Vaccines Humans
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Role of Natural Language Processing in Automatic Detection of Unexpected Findings in Radiology Reports: A Comparative Study of RoBERTa, CNN, and ChatGPT.

Academic radiology Aug 9, 2024
RATIONALE AND OBJECTIVES: Large Language Models can capture the context of radiological reports, offering high accuracy in detecting unexpected findings. We aim to fine-tune a Robustly Optimized BERT Pretraining Approach (RoBERTa) model for the autom...
Humans Neural Networks, Computer Natural Language Processing Radiology Information Systems
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[Automatic ICD-10 coding : Natural language processing for German MRI reports].

Radiologie (Heidelberg, Germany) Aug 9, 2024
BACKGROUND: The medical coding of radiology reports is essential for a good quality of care and correct billing, but at the same time a complex and error-prone task.
Natural Language Processing Germany International Classification of Diseases Clinical Coding Retrospective Studies Magnetic Resonance Imaging Humans
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Language models for biological research: a primer.

Nature methods Aug 9, 2024
Language models are playing an increasingly important role in many areas of artificial intelligence (AI) and computational biology. In this primer, we discuss the ways in which language models, both those based on natural language and those based on ...
Humans Natural Language Processing Artificial Intelligence Programming Languages Computational Biology
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Global Research on Pandemics or Epidemics and Mental Health: A Natural Language Processing Study.

Journal of epidemiology and global health Aug 8, 2024
BACKGROUND: The global research on pandemics or epidemics and mental health has been growing exponentially recently, which cannot be integrated through traditional systematic review. Our study aims to systematically synthesize the evidence using natu...
COVID-19 SARS-CoV-2 Humans Pandemics Natural Language Processing Epidemics Mental Health Global Health Pneumonia, Viral
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ICDXML: enhancing ICD coding with probabilistic label trees and dynamic semantic representations.

Scientific reports Aug 7, 2024
Accurately assigning standardized diagnosis and procedure codes from clinical text is crucial for healthcare applications. However, this remains challenging due to the complexity of medical language. This paper proposes a novel model that incorporate...
Databases, Factual Natural Language Processing Semantics International Classification of Diseases Neural Networks, Computer Algorithms Humans
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An improved data augmentation approach and its application in medical named entity recognition.

BMC medical informatics and decision making Aug 5, 2024
Performing data augmentation in medical named entity recognition (NER) is crucial due to the unique challenges posed by this field. Medical data is characterized by high acquisition costs, specialized terminology, imbalanced distributions, and limite...
Natural Language Processing Humans Deep Learning
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Improving the quality of Persian clinical text with a novel spelling correction system.

BMC medical informatics and decision making Aug 5, 2024
BACKGROUND: The accuracy of spelling in Electronic Health Records (EHRs) is a critical factor for efficient clinical care, research, and ensuring patient safety. The Persian language, with its abundant vocabulary and complex characteristics, poses un...
Humans Natural Language Processing Iran Algorithms Electronic Health Records
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