End-to-end Chinese clinical event extraction based on large language model
Sign Up to like & getrecommendations! Published in 2025 at "Scientific Reports"
DOI: 10.1038/s41598-025-00609-y
Abstract: Clinical event extraction is crucial for structuring medical data, supporting clinical decision-making, and enabling other intelligent healthcare services. Traditional approaches for clinical event extraction often use pipeline-based methods to identify event triggers and elements. However,… read more here.
Keywords: end end; event extraction; event; language ... See more keywords
CLINICAL EVENT REDUCTIONS IN HIGH-RISK HYPERTENSION PATIENTS TREATED WITH RENAL DENERVATION: 10-YEAR PROJECTIONS BASED ON 3-YEAR FOLLOW-UP FROM THE GLOBAL SYMPLICITY REGISTRY
Sign Up to like & getrecommendations! Published in 2022 at "Journal of Hypertension"
DOI: 10.1097/01.hjh.0000835720.25657.d5
Abstract: Objective: Clinical event rates over 3 years have been published for patients with uncontrolled hypertension treated with radiofrequency renal denervation (RDN) in the Global SYMPLICITY Registry (GSR). We estimated 10-year clinical event reductions following RDN vs.… read more here.
Keywords: year; hypertension; event reductions; clinical event ... See more keywords
Bi-LSTM-CRF Network for Clinical Event Extraction With Medical Knowledge Features
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Access"
DOI: 10.1109/access.2022.3213676
Abstract: Extracting clinical event expressions and their types from clinical text is a fundamental task for many applications in clinical NLP. State-of-the-art systems need handcraft features and do not take into account the representation of the… read more here.
Keywords: lstm crf; medical knowledge; knowledge; knowledge features ... See more keywords
On Clinical Event Prediction in Patient Treatment Trajectory Using Longitudinal Electronic Health Records
Sign Up to like & getrecommendations! Published in 2020 at "IEEE Journal of Biomedical and Health Informatics"
DOI: 10.1109/jbhi.2019.2962079
Abstract: Healthcare process leaves patient treatment trajectory (PTT), described as a sequence of interdependent clinical events affiliated with a large volume of longitudinal therapy and treatment information. Predicting the future clinical event in PTT, as a… read more here.
Keywords: treatment trajectory; treatment; clinical event; ptt ... See more keywords
Validation of GPT‐4 for clinical event classification: A comparative analysis with ICD codes and human reviewers
Sign Up to like & getrecommendations! Published in 2024 at "Journal of Gastroenterology and Hepatology"
DOI: 10.1111/jgh.16561
Abstract: Effective clinical event classification is essential for clinical research and quality improvement. The validation of artificial intelligence (AI) models like Generative Pre‐trained Transformer 4 (GPT‐4) for this task and comparison with conventional methods remains unexplored. read more here.
Keywords: validation gpt; event classification; clinical event;
Abstract 4360716: An Artificial Intelligence Model for Clinical Event Adjudication in Cardiovascular Clinical Trial
Sign Up to like & getrecommendations! Published in 2025 at "Circulation"
DOI: 10.1161/circ.152.suppl_3.4360716
Abstract: Adjudication of clinical events by a central event committee (CEC) is the gold standard to assess outcomes in randomized cardiovascular outcome trials (CVOT). The standard adjudication process is very complex, expensive and labor-intensive but is… read more here.
Keywords: adjudication; event adjudication; artificial intelligence; event ... See more keywords
Clinical and Economic Impact of Long-Term Disease Modifying Transfusions in Adults As a Prophylactic Intervention for Sickle Cell Disease Crises
Sign Up to like & getrecommendations! Published in 2024 at "Blood"
DOI: 10.1182/blood-2024-207402
Abstract: Background In 2021, there were an estimated 7.74 million people living with sickle cell disease (SCD) globally: a 41% increase from 2001 (Thomson et al. The Lancet Haematology, 2023). Regular automated red blood cell exchange… read more here.
Keywords: disease; arbcx; cell; clinical event ... See more keywords
Combining data augmentation and domain information with TENER model for Clinical Event Detection
Sign Up to like & getrecommendations! Published in 2021 at "BMC Medical Informatics and Decision Making"
DOI: 10.1186/s12911-021-01618-3
Abstract: In recent years, with the development of artificial intelligence, the use of deep learning technology for clinical information extraction has become a new trend. Clinical Event Detection (CED) as its subtask has attracted the attention… read more here.
Keywords: information; event detection; tener model; model ... See more keywords