AIMC Topic: Natural Language Processing

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Unveiling social determinants of health impact on adverse pregnancy outcomes through natural language processing.

Scientific reports Aug 9, 2025
Understanding the role of Social Determinants of Health (SDoH) in pregnancy outcomes is critical for improving maternal and infant health yet extracting SDoH from unstructured electronic health records remains challenging. We trained and evaluated na...
Social Determinants of Health Pregnancy Complications Pregnancy Outcome Natural Language Processing Electronic Health Records Pregnancy Adult Social Support Female Humans Databases, Factual
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Natural language processing reveals network structure of pain communication in social media using discrete mathematical analysis.

Scientific reports Aug 9, 2025
Pain-related discussions on social media provide valuable insights into how people naturally express and communicate their pain experiences. However, the network structure of these discussions remains poorly understood. This study analyzed 57,000 Red...
Humans Natural Language Processing Pain Semantics Communication Social Media
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Bag-of-words is competitive with sum-of-embeddings language-inspired representations on protein inference.

PloS one Aug 6, 2025
Inferring protein function is a fundamental and long-standing problem in biology. Laboratory experiments in this field are often expensive, and therefore large-scale computational protein inference from readily available amino acid sequences is neede...
Computational Biology Proteins Databases, Protein Algorithms Sequence Analysis, Protein Natural Language Processing Amino Acid Sequence
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A deep learning framework for gender sensitive speech emotion recognition based on MFCC feature selection and SHAP analysis.

Scientific reports Aug 5, 2025
Speech is one of the most efficient methods of communication among humans, inspiring advancements in machine speech processing under Natural Language Processing (NLP). This field aims to enable computers to analyze, comprehend, and generate human lan...
Deep Learning Speech Emotions Female Male Natural Language Processing Neural Networks, Computer Algorithms Humans
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Natural language processing for kidney ultrasound analysis: correlating imaging reports with chronic kidney disease diagnosis.

Renal failure Aug 4, 2025
INTRODUCTION: Natural language processing (NLP) has been used to analyze unstructured imaging report data, yet its application in identifying chronic kidney disease (CKD) features from kidney ultrasound reports remains unexplored.
Humans Female Ultrasonography Kidney Male Logistic Models Aged Renal Insufficiency, Chronic Middle Aged Adult Natural Language Processing Pilot Projects
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Zero-shot performance analysis of large language models in sumrate maximization.

PloS one Aug 4, 2025
Large language models have revolutionized the field of natural language processing and are now becoming a one-stop solution to various tasks. In the field of Networking, LLMs can also play a major role when it comes to resource optimization and shari...
Natural Language Processing Large Language Models Language Models, Theoretical Humans Algorithms
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Evaluation of the accuracy of ChatGPT-4 and Gemini's responses to the World Dental Federation's frequently asked questions on oral health.

BMC oral health Aug 2, 2025
BACKGROUND: The field of artificial intelligence (AI) has experienced considerable growth in recent years, with the advent of technologies that are transforming a range of industries, including healthcare and dentistry. Large language models (LLMs) a...
Oral Health Internet Societies, Dental Generative Artificial Intelligence Humans Natural Language Processing Artificial Intelligence
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The need for guardrails with large language models in pharmacovigilance and other medical safety critical settings.

Scientific reports Jul 31, 2025
Large language models (LLMs) are useful tools with the capacity for performing specific types of knowledge work at an effective scale. However, LLM deployments in high-risk and safety-critical domains pose unique challenges, notably the issue of "hal...
Adverse Drug Reaction Reporting Systems Large Language Models Humans Drug-Related Side Effects and Adverse Reactions Patient Safety Language Pharmacovigilance Natural Language Processing
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Features extraction based on Naive Bayes algorithm and TF-IDF for news classification.

PloS one Jul 30, 2025
The rapid proliferation of online news demands robust automated classification systems to enhance information organization and personalized recommendation. Although traditional methods like TF-IDF with Naive Bayes provide foundational solutions, thei...
Humans Natural Language Processing Bayes Theorem Semantics Machine Learning Algorithms
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A patient-centered approach to developing and validating a natural language processing model for extracting patient-reported symptoms.

Scientific reports Jul 29, 2025
Patient-reported symptoms provide valuable insights into patient experiences and can enhance healthcare quality; however, effectively capturing them remains challenging. Although natural language processing (NLP) models have been developed to extract...
Patient Reported Outcome Measures Natural Language Processing Patient-Centered Care Humans Electronic Health Records
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