AIMC Topic: Natural Language Processing

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EvidenceOutcomes: A Dataset of Clinical Trial Publications with Clinically Meaningful Outcomes.

Studies in health technology and informatics Aug 7, 2025
The fundamental process of evidence extraction in evidence-based medicine relies on identifying PICO elements, with Outcomes being the most complex and often overlooked. To address this, we introduce EvidenceOutcomes, a large annotated corpus of clin...
Data Mining Machine Learning Outcome Assessment, Health Care Natural Language Processing Humans Clinical Trials as Topic Evidence-Based Medicine
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PheCatcher: Leveraging LLM-Generated Synthetic Data for Automated Phenotype Definition Extraction from Biomedical Literature.

Studies in health technology and informatics Aug 7, 2025
Phenotype definitions are crucial for the progression of precision and personalized medicine. Although phenotype knowledge bases such as PheKB and the OHDSI library are available, they rely heavily on manual input. This study introduces PheCatcher, a...
Humans Natural Language Processing Phenotype Data Mining
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A Framework for Extracting, and Validating Named-Entities to Integrate Openehr Using the Example of Free Text Molecular Genetic Findings.

Studies in health technology and informatics Aug 7, 2025
Processing and extracting information from unstructured texts written by physicians in Hospitals is still an open problem. There is no efficient solution that ensures the reliability of the extracted information without any human intervention. Many f...
Humans Natural Language Processing Data Mining Electronic Health Records
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Natural Language Processing-Based Approach to Detect Common Adverse Events of Anticancer Agents from Unstructured Clinical Notes: A Time-to-Event Analysis.

Studies in health technology and informatics Aug 7, 2025
This study assessed the effectiveness of natural language processing (NLP) in detecting adverse events (AEs) from anticancer agents by analyzing data from over 39,000 cancer patients. A specialized machine learning model identified known AEs from ant...
Neoplasms Antineoplastic Agents Natural Language Processing Drug-Related Side Effects and Adverse Reactions Machine Learning Electronic Health Records Data Mining Humans Adverse Drug Reaction Reporting Systems
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Empirical Antonym Implementation in the UMLS SPECIALIST Lexicon.

Studies in health technology and informatics Aug 7, 2025
Antonyms are words that have opposite or contrasting meanings in a specific domain. For example, "increase" is the opposite of "decrease" in the domain of "quantity". Antonyms play an important role in NLP applications to improve performance. This pa...
Semantics Terminology as Topic Humans Unified Medical Language System Natural Language Processing
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Clinical Trial Eligibility Criteria Decomposition and Parsing with Large Language Models.

Studies in health technology and informatics Aug 7, 2025
Clinical trial eligibility criteria, often presented as complex free text, pose significant challenges for automated processing. This study introduces a Decomposition and Parsing (DP) workflow to address these challenges by systematically breaking do...
Eligibility Determination Large Language Models Alzheimer Disease Clinical Trials as Topic Natural Language Processing Humans
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Can Generative LLMs Help Classify Imbalanced Real-World Data? Exploring Rare Diseases on Social Media.

Studies in health technology and informatics Aug 7, 2025
Developmental and Epileptic Encephalopathies (DEEs) are rare, severe conditions often discussed by families on social media, offering valuable insights into their experiences. Identifying these messages amidst unrelated content is crucial but challen...
Natural Language Processing Rare Diseases Humans Social Media
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Performance of Open-Source Large Language Models to Extract Symptoms from Clinical Notes.

Studies in health technology and informatics Aug 7, 2025
In this study, we examined how well the open-source foundational large language models (LLMs) can extract symptoms and signs (S&S), along with their corresponding ICD-10 codes, from clinical notes found in the public MTSamples dataset. The dataset co...
Humans Electronic Health Records International Classification of Diseases Symptom Assessment Natural Language Processing Data Mining Large Language Models
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Human in the Loop: Embedding Medical Expert Input in Large Language Models for Clinical Applications.

Studies in health technology and informatics Aug 7, 2025
The state-of-the-art performance of large language models (LLMs) in medical natural language (NLP) tasks, including medical query answering, summarization of clinical notes, and generation of medical reports has led to the development of a large numb...
Expert Systems Electronic Health Records Biological Ontologies Humans Large Language Models Natural Language Processing Epilepsies, Myoclonic
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An Ensemble Approach Integrating Retrieval-Augmented Large Language Models and Boosting Algorithms for Enhanced Catatonia Phenotyping.

Studies in health technology and informatics Aug 7, 2025
A critical first step in using large-scale data to study catatonia is the development of precise phenotyping algorithms that can identify instances of the condition. In this work, we present an ensemble approach that combines retrieval-augmented gene...
Algorithms Phenotype Humans Machine Learning Large Language Models Catatonia Electronic Health Records Natural Language Processing
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