AIMC Topic: Natural Language Processing
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Validation of anorexia nervosa and Bulimia nervosa diagnosis coding in Danish hospitals assisted by a natural language processing model.
Journal of psychiatric research
Sep 14, 2024
INTRODUCTION: The Danish Health Care Registers rely on the International Statistical Classification of Diseases and Related Health Problems (ICD)-classification and stand as a widely utilized resource for health epidemiological research. Eating disor...
The Use of Natural Language Processing Methods in Reddit to Investigate Opioid Use: Scoping Review.
JMIR infodemiology
Sep 13, 2024
BACKGROUND: The growing availability of big data spontaneously generated by social media platforms allows us to leverage natural language processing (NLP) methods as valuable tools to understand the opioid crisis.
RECOMED: A comprehensive pharmaceutical recommendation system.
Artificial intelligence in medicine
Sep 12, 2024
OBJECTIVES: To build datasets containing useful information from drug databases and recommend a list of drugs to physicians and patients with high accuracy by considering a wide range of features of people, diseases, and chemicals.
Large Language Models, scientific knowledge and factuality: A framework to streamline human expert evaluation.
Journal of biomedical informatics
Sep 12, 2024
OBJECTIVE: The paper introduces a framework for the evaluation of the encoding of factual scientific knowledge, designed to streamline the manual evaluation process typically conducted by domain experts. Inferring over and extracting information from...
An exploration into CTEPH medications: Combining natural language processing, embedding learning, in vitro models, and real-world evidence for drug repurposing.
PLoS computational biology
Sep 12, 2024
BACKGROUND: In the modern era, the growth of scientific literature presents a daunting challenge for researchers to keep informed of advancements across multiple disciplines.
A natural language processing system for the efficient extraction of cell markers.
Scientific reports
Sep 11, 2024
Single-cell RNA sequencing (scRNA-seq) has emerged as a pivotal tool for exploring cellular landscapes across diverse species and tissues. Precise annotation of cell types is essential for understanding these landscapes, relying heavily on empirical ...
The Normalization of Vaping on TikTok Using Computer Vision, Natural Language Processing, and Qualitative Thematic Analysis: Mixed Methods Study.
Journal of medical Internet research
Sep 11, 2024
BACKGROUND: Social media posts that portray vaping in positive social contexts shape people's perceptions and serve to normalize vaping. Despite restrictions on depicting or promoting controlled substances, vape-related content is easily accessible o...
Utility analysis and demonstration of real-world clinical texts: A case study on Japanese cancer-related EHRs.
PloS one
Sep 11, 2024
Real-world data (RWD) in the medical field, such as electronic health records (EHRs) and medication orders, are receiving increasing attention from researchers and practitioners. While structured data have played a vital role thus far, unstructured d...
BELT: Bootstrapped EEG-to-Language Training by Natural Language Supervision.
IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society
Sep 11, 2024
Decoding natural language from noninvasive brain signals has been an exciting topic with the potential to expand the applications of brain-computer interface (BCI) systems. However, current methods face limitations in decoding sentences from electroe...
Extracting seizure control metrics from clinic notes of patients with epilepsy: A natural language processing approach.
Epilepsy research
Sep 10, 2024
OBJECTIVES: Monitoring seizure control metrics is key to clinical care of patients with epilepsy. Manually abstracting these metrics from unstructured text in electronic health records (EHR) is laborious. We aimed to abstract the date of last seizure...
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