AIMC Topic: Natural Language Processing
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Large language models vs human for classifying clinical documents.
International journal of medical informatics
Jan 21, 2025
BACKGROUND: Accurate classification of medical records is crucial for clinical documentation, particularly when using the 10th revision of the International Classification of Diseases (ICD-10) coding system. The use of machine learning algorithms and...
Classifying Unstructured Text in Electronic Health Records for Mental Health Prediction Models: Large Language Model Evaluation Study.
JMIR medical informatics
Jan 21, 2025
BACKGROUND: Prediction models have demonstrated a range of applications across medicine, including using electronic health record (EHR) data to identify hospital readmission and mortality risk. Large language models (LLMs) can transform unstructured ...
Applications of Natural Language Processing and Large Language Models for Social Determinants of Health: Protocol for a Systematic Review.
JMIR research protocols
Jan 21, 2025
BACKGROUND: In recent years, the intersection of natural language processing (NLP) and public health has opened innovative pathways for investigating social determinants of health (SDOH) in textual datasets. Despite the promise of NLP in the SDOH dom...
Psychological and Behavioral Insights From Social Media Users: Natural Language Processing-Based Quantitative Study on Mental Well-Being.
JMIR formative research
Jan 20, 2025
BACKGROUND: Depression significantly impacts an individual's thoughts, emotions, behaviors, and moods; this prevalent mental health condition affects millions globally. Traditional approaches to detecting and treating depression rely on questionnaire...
Semantic search helper: A tool based on the use of embeddings in multi-item questionnaires as a harmonization opportunity for merging large datasets - A feasibility study.
European psychiatry : the journal of the Association of European Psychiatrists
Jan 20, 2025
BACKGROUND: Recent advances in natural language processing (NLP), particularly in language processing methods, have opened new avenues in semantic data analysis. A promising application of NLP is data harmonization in questionnaire-based cohort studi...
Large language models for data extraction from unstructured and semi-structured electronic health records: a multiple model performance evaluation.
BMJ health & care informatics
Jan 19, 2025
OBJECTIVES: We aimed to evaluate the performance of multiple large language models (LLMs) in data extraction from unstructured and semi-structured electronic health records.
Supporting vision-language model few-shot inference with confounder-pruned knowledge prompt.
Neural networks : the official journal of the International Neural Network Society
Jan 18, 2025
Vision-language models are pre-trained by aligning image-text pairs in a common space to deal with open-set visual concepts. Recent works adopt fixed or learnable prompts, i.e., classification weights are synthesized from natural language description...
Natural Language Processing in Gastroenterology: Current Applications and Future Directions.
Gastrointestinal endoscopy clinics of North America
Jan 18, 2025
Natural language processing (NLP), a branch of artificial intelligence, has rapidly gained importance in health care for converting unstructured clinical data into structured formats, enhancing decision-making, research, and patient care. Gastroenter...
Using natural language processing to identify emergency department patients with incidental lung nodules requiring follow-up.
Academic emergency medicine : official journal of the Society for Academic Emergency Medicine
Jan 17, 2025
OBJECTIVES: For emergency department (ED) patients, lung cancer may be detected early through incidental lung nodules (ILNs) discovered on chest CTs. However, there are significant errors in the communication and follow-up of incidental findings on E...
Extraction and classification of structured data from unstructured hepatobiliary pathology reports using large language models: a feasibility study compared with rules-based natural language processing.
Journal of clinical pathology
Jan 17, 2025
AIMS: Structured reporting in pathology is not universally adopted and extracting elements essential to research often requires expensive and time-intensive manual curation. The accuracy and feasibility of using large language models (LLMs) to extrac...
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