AIMC Topic: Natural Language Processing
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Evaluating the positive predictive value of code-based identification of cirrhosis and its complications utilizing GPT-4.
Hepatology (Baltimore, Md.)
Oct 8, 2024
BACKGROUND AND AIMS: Diagnosis code classification is a common method for cohort identification in cirrhosis research, but it is often inaccurate and augmented by labor-intensive chart review. Natural language processing using large language models (...
Perceived Impact of COVID-19 in an Underserved Community: A Natural Language Processing Approach.
Journal of advanced nursing
Oct 7, 2024
AIM: To utilise natural language processing (NLP) to analyse interviews about the impact of COVID-19 in underserved communities and to compare it to traditional thematic analysis in a small subset of interviews.
Advances of artificial intelligence in predicting frailty using real-world data: A scoping review.
Ageing research reviews
Oct 5, 2024
BACKGROUND: Frailty assessment is imperative for tailoring healthcare interventions for older adults, but its implementation remains challenging due to the effort and time needed. The advances of artificial intelligence (AI) and natural language proc...
Augmenting biomedical named entity recognition with general-domain resources.
Journal of biomedical informatics
Oct 4, 2024
OBJECTIVE: Training a neural network-based biomedical named entity recognition (BioNER) model usually requires extensive and costly human annotations. While several studies have employed multi-task learning with multiple BioNER datasets to reduce hum...
PotatoG-DKB: a potato gene-disease knowledge base mined from biological literature.
PeerJ
Oct 3, 2024
BACKGROUND: Potato is the fourth largest food crop in the world, but potato cultivation faces serious threats from various diseases and pests. Despite significant advancements in research on potato disease resistance, these findings are scattered acr...
Estimating the prevalence of select non-communicable diseases in Saudi Arabia using a population-based sample: econometric analysis with natural language processing.
Annals of Saudi medicine
Oct 3, 2024
BACKGROUND: Non-communicable diseases (NCDs) are a major public health challenge globally, including in Saudi Arabia. However, measuring the true extent of NCD prevalence has been hampered by a paucity of nationally representative epidemiological stu...
Machine learning and deep learning-based approach to categorize Bengali comments on social networks using fused dataset.
PloS one
Oct 3, 2024
Through the advancement of the contemporary web and the rapid adoption of social media platforms such as YouTube, Twitter, and Facebook, for example, life has become much easier when dealing with certain highly personal problems. The far-reaching con...
De Novo Natural Language Processing Algorithm Accurately Identifies Myxofibrosarcoma From Pathology Reports.
Clinical orthopaedics and related research
Oct 2, 2024
BACKGROUND: Available codes in the ICD-10 do not accurately reflect soft tissue sarcoma diagnoses, and this can result in an underrepresentation of soft tissue sarcoma in databases. The National VA Database provides a unique opportunity for soft tiss...
MediAlbertina: An European Portuguese medical language model.
Computers in biology and medicine
Oct 2, 2024
BACKGROUND: Patient medical information often exists in unstructured text containing abbreviations and acronyms deemed essential to conserve time and space but posing challenges for automated interpretation. Leveraging the efficacy of Transformers in...
Explanatory argument extraction of correct answers in resident medical exams.
Artificial intelligence in medicine
Sep 30, 2024
Developing technology to assist medical experts in their everyday decision-making is currently a hot topic in the field of Artificial Intelligence (AI). This is specially true within the framework of Evidence-Based Medicine (EBM), where the aim is to...
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