AIMC Topic: Natural Language Processing
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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.
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 ...
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...
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...
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...
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...
Advancing plant biology through deep learning-powered natural language processing.
Plant cell reports
Aug 5, 2024
The application of deep learning methods, specifically the utilization of Large Language Models (LLMs), in the field of plant biology holds significant promise for generating novel knowledge on plant cell systems. The LLM framework exhibits exception...
Overview of computational methods in taphonomy based on the combination of bibliometric analysis and natural language.
Anais da Academia Brasileira de Ciencias
Aug 5, 2024
Artificial intelligence tools are new in taphonomy and are growing fast. They are being used mainly to investigate bone surface marks. In order to investigate this subject, a bibliometric study was made to understand the growing rate of this intersec...
Assessing dimensions of thought disorder with large language models: The tradeoff of accuracy and consistency.
Psychiatry research
Aug 3, 2024
Natural Language Processing (NLP) methods have shown promise for the assessment of formal thought disorder, a hallmark feature of schizophrenia in which disturbances to the structure, organization, or coherence of thought can manifest as disordered o...
A pre-trained language model for emergency department intervention prediction using routine physiological data and clinical narratives.
International journal of medical informatics
Aug 3, 2024
INTRODUCTION: The urgency and complexity of emergency room (ER) settings require precise and swift decision-making processes for patient care. Ensuring the timely execution of critical examinations and interventions is vital for reducing diagnostic e...
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