AIMC Topic: Natural Language Processing

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Demonstration-based learning for few-shot biomedical named entity recognition under machine reading comprehension.

Journal of biomedical informatics Oct 25, 2024
OBJECTIVE: Although deep learning techniques have shown significant achievements, they frequently depend on extensive amounts of hand-labeled data and tend to perform inadequately in few-shot scenarios. The objective of this study is to devise a stra...
Comprehension Natural Language Processing Medical Informatics Algorithms Databases, Factual Deep Learning Humans Machine Learning
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Use of Deep Learning to Identify Peripheral Arterial Disease Cases From Narrative Clinical Notes.

The Journal of surgical research Oct 24, 2024
INTRODUCTION: Peripheral arterial disease (PAD) is the leading cause of amputation in the United States. Despite affecting 8.5 million Americans and more than 200 million people globally, there are significant gaps in awareness by both patients and p...
Humans Natural Language Processing Algorithms Female Middle Aged Aged, 80 and over Deep Learning Electronic Health Records Aged Male Peripheral Arterial Disease
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Harnessing explainable artificial intelligence for patient-to-clinical-trial matching: A proof-of-concept pilot study using phase I oncology trials.

PloS one Oct 24, 2024
This study aims to develop explainable AI methods for matching patients with phase 1 oncology clinical trials using Natural Language Processing (NLP) techniques to address challenges in patient recruitment for improved efficiency in drug development....
Patient Selection Neoplasms Medical Oncology Pilot Projects Humans Clinical Trials, Phase I as Topic Natural Language Processing Artificial Intelligence Proof of Concept Study
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Automated Identification of Heart Failure With Reduced Ejection Fraction Using Deep Learning-Based Natural Language Processing.

JACC. Heart failure Oct 23, 2024
BACKGROUND: The lack of automated tools for measuring care quality limits the implementation of a national program to assess guideline-directed care in heart failure with reduced ejection fraction (HFrEF).
Female Natural Language Processing Aged, 80 and over Aged Humans Echocardiography Patient Discharge Middle Aged Male Heart Failure Deep Learning Stroke Volume
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Accuracy of natural language processors for patients seeking inguinal hernia information.

Surgical endoscopy Oct 23, 2024
BACKGROUND: NLPs such as ChatGPT are novel sources of online healthcare information that are readily accessible and integrated into internet search tools. The accuracy of NLP-generated responses to health information questions is unknown.
Information Seeking Behavior Natural Language Processing Humans Comprehension Patient Education as Topic Hernia, Inguinal Internet Consumer Health Information
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From pre-training to fine-tuning: An in-depth analysis of Large Language Models in the biomedical domain.

Artificial intelligence in medicine Oct 23, 2024
In this study, we delve into the adaptation and effectiveness of Transformer-based, pre-trained Large Language Models (LLMs) within the biomedical domain, a field that poses unique challenges due to its complexity and the specialized nature of its da...
Humans Natural Language Processing
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Enhancing Arabidopsis thaliana ubiquitination site prediction through knowledge distillation and natural language processing.

Methods (San Diego, Calif.) Oct 22, 2024
Protein ubiquitination is a critical post-translational modification (PTM) involved in diverse biological processes and plays a pivotal role in regulating physiological mechanisms and disease states. Despite various efforts to develop ubiquitination ...
Neural Networks, Computer Machine Learning Algorithms Natural Language Processing Ubiquitination Arabidopsis Proteins Computational Biology Protein Processing, Post-Translational Arabidopsis
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ChatGPT-4 extraction of heart failure symptoms and signs from electronic health records.

Progress in cardiovascular diseases Oct 21, 2024
BACKGROUND: Natural language processing (NLP) can facilitate research utilizing data from electronic health records (EHRs). Large language models can potentially improve NLP applications leveraging EHR notes. The objective of this study was to assess...
Heart Failure Data Mining Humans Symptom Assessment Predictive Value of Tests Electronic Health Records United States Natural Language Processing Machine Learning
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Distributional hypothesis as isomorphism between word-word co-occurrence and analogical parallelograms.

PloS one Oct 21, 2024
Most of the modern natural language processing (NLP) techniques are based on the vector space models of language, in which each word is represented by a vector in a high dimensional space. One of the earliest successes was demonstrated by the four-te...
Models, Theoretical Natural Language Processing Humans Semantics Algorithms Language
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PLRTE: Progressive learning for biomedical relation triplet extraction using large language models.

Journal of biomedical informatics Oct 18, 2024
Document-level relation triplet extraction is crucial in biomedical text mining, aiding in drug discovery and the construction of biomedical knowledge graphs. Current language models face challenges in generalizing to unseen datasets and relation typ...
Data Mining Semantics Humans Machine Learning Databases, Factual Natural Language Processing Algorithms
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