[HTML][HTML] Natural language processing of clinical notes on chronic diseases: systematic review
Background: Novel approaches that complement and go beyond evidence-based medicine
are required in the domain of chronic diseases, given the growing incidence of such …
are required in the domain of chronic diseases, given the growing incidence of such …
A systematic review of natural language processing applied to radiology reports
Background Natural language processing (NLP) has a significant role in advancing
healthcare and has been found to be key in extracting structured information from radiology …
healthcare and has been found to be key in extracting structured information from radiology …
Systematic review of current natural language processing methods and applications in cardiology
MR Turchioe, A Volodarskiy, J Pathak, DN Wright… - Heart, 2022 - heart.bmj.com
Natural language processing (NLP) is a set of automated methods to organise and evaluate
the information contained in unstructured clinical notes, which are a rich source of real-world …
the information contained in unstructured clinical notes, which are a rich source of real-world …
A review of risk prediction models in cardiovascular disease: conventional approach vs. artificial intelligent approach
ASM Faizal, TM Thevarajah, SM Khor… - Computer methods and …, 2021 - Elsevier
Cardiovascular disease (CVD) is the leading cause of death worldwide and is a global
health issue. Traditionally, statistical models are used commonly in the risk prediction and …
health issue. Traditionally, statistical models are used commonly in the risk prediction and …
Association of left ventricular ejection fraction and symptoms with mortality after elective noncardiac surgery among patients with heart failure
Importance Heart failure is an established risk factor for postoperative mortality, but how left
ventricular ejection fraction and heart failure symptoms affect surgical outcomes is not fully …
ventricular ejection fraction and heart failure symptoms affect surgical outcomes is not fully …
Artificial intelligence: revolutionizing cardiology with large language models
Natural language processing techniques are having an increasing impact on clinical care
from patient, clinician, administrator, and research perspective. Among others are automated …
from patient, clinician, administrator, and research perspective. Among others are automated …
[PDF][PDF] Overview of multicardioner task at bioasq 2024 on medical speciality and language adaptation of clinical ner systems for spanish, english and italian
Transformers and large language models (LLMs) are increasingly used for clinical data
analysis, mostly in English, but also in many other languages used within medical care …
analysis, mostly in English, but also in many other languages used within medical care …
Genetic architecture of heart failure with preserved versus reduced ejection fraction
Pharmacologic clinical trials for heart failure with preserved ejection fraction have been
largely unsuccessful as compared to those for heart failure with reduced ejection fraction …
largely unsuccessful as compared to those for heart failure with reduced ejection fraction …
Evaluation of quality of care for US veterans with recent-onset heart failure with reduced ejection fraction
Importance Multiple guideline-recommended therapies for heart failure with reduced
ejection fraction (HFrEF) are available and promoted by performance measures. However …
ejection fraction (HFrEF) are available and promoted by performance measures. However …
Trends and features of the applications of natural language processing techniques for clinical trials text analysis
Natural language processing (NLP) is an effective tool for generating structured information
from unstructured data, the one that is commonly found in clinical trial texts. Such …
from unstructured data, the one that is commonly found in clinical trial texts. Such …