AIMC Topic: Natural Language Processing
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Using Natural Language Processing to Identify Home Health Care Patients at Risk for Diagnosis of Alzheimer's Disease and Related Dementias.
Journal of applied gerontology : the official journal of the Southern Gerontological Society
Mar 31, 2024
This study aimed to: (1) validate a natural language processing (NLP) system developed for the home health care setting to identify signs and symptoms of Alzheimer's disease and related dementias (ADRD) documented in clinicians' free-text notes; (2) ...
MV-SHIF: Multi-view symmetric hypothesis inference fusion network for emotion-cause pair extraction in documents.
Neural networks : the official journal of the International Neural Network Society
Mar 29, 2024
Emotion-cause pair extraction (ECPE) is a challenging task that aims to automatically identify pairs of emotions and their causes from documents. The difficulty of ECPE lies in distinguishing valid emotion-cause pairs from many irrelevant ones. Most ...
Calculated Medicine: Seven Decades of Accelerating Growth.
The American journal of medicine
Mar 29, 2024
The field of Calculated Medicine has grown substantially over the last 7 decades. Comprised of objective, evidence-based medical decision tools, Calculated Medicine has broad application in medical practice, medical research, and health care manageme...
Comparison of natural language processing algorithms in assessing the importance of head computed tomography reports written in Japanese.
Japanese journal of radiology
Mar 29, 2024
PURPOSE: To propose a five-point scale for radiology report importance called Report Importance Category (RIC) and to compare the performance of natural language processing (NLP) algorithms in assessing RIC using head computed tomography (CT) reports...
A natural language processing algorithm accurately classifies steatotic liver disease pathology to estimate the risk of cirrhosis.
Hepatology communications
Mar 29, 2024
BACKGROUND: Histopathology remains the gold standard for diagnosing and staging metabolic dysfunction-associated steatotic liver disease (MASLD). The feasibility of studying MASLD progression in electronic medical records based on histological featur...
A deep learning approach for Named Entity Recognition in Urdu language.
PloS one
Mar 28, 2024
Named Entity Recognition (NER) is a natural language processing task that has been widely explored for different languages in the recent decade but is still an under-researched area for the Urdu language due to its rich morphology and language comple...
Automating sedation state assessments using natural language processing.
Journal of nursing scholarship : an official publication of Sigma Theta Tau International Honor Society of Nursing
Mar 26, 2024
INTRODUCTION: Common goals for procedural sedation are to control pain and ensure the patient is not moving to an extent that is impeding safe progress or completion of the procedure. Clinicians perform regular assessments of the adequacy of procedur...
Identification of pancreatic cancer risk factors from clinical notes using natural language processing.
Pancreatology : official journal of the International Association of Pancreatology (IAP) ... [et al.]
Mar 26, 2024
OBJECTIVES: Screening for pancreatic ductal adenocarcinoma (PDAC) is considered in high-risk individuals (HRIs) with established PDAC risk factors, such as family history and germline mutations in PDAC susceptibility genes. Accurate assessment of ris...
Model tuning or prompt Tuning? a study of large language models for clinical concept and relation extraction.
Journal of biomedical informatics
Mar 26, 2024
OBJECTIVE: To develop soft prompt-based learning architecture for large language models (LLMs), examine prompt-tuning using frozen/unfrozen LLMs, and assess their abilities in transfer learning and few-shot learning.
Automatic categorization of self-acknowledged limitations in randomized controlled trial publications.
Journal of biomedical informatics
Mar 26, 2024
OBJECTIVE: Acknowledging study limitations in a scientific publication is a crucial element in scientific transparency and progress. However, limitation reporting is often inadequate. Natural language processing (NLP) methods could support automated ...
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