[HTML][HTML] Clinical information extraction applications: a literature review
Background With the rapid adoption of electronic health records (EHRs), it is desirable to
harvest information and knowledge from EHRs to support automated systems at the point of …
harvest information and knowledge from EHRs to support automated systems at the point of …
Big data in medicine is driving big changes
Objectives: To summarise current research that takes advantage of “Big Data” in health and
biomedical informatics applications. Methods: Survey of trends in this work, and exploration …
biomedical informatics applications. Methods: Survey of trends in this work, and exploration …
[HTML][HTML] Applications of machine learning approaches in emergency medicine; a review article
N Shafaf, H Malek - Archives of academic emergency medicine, 2019 - ncbi.nlm.nih.gov
Using artificial intelligence and machine learning techniques in different medical fields,
especially emergency medicine is rapidly growing. In this paper, studies conducted in the …
especially emergency medicine is rapidly growing. In this paper, studies conducted in the …
Natural language processing with machine learning methods to analyze unstructured patient-reported outcomes derived from electronic health records: A systematic …
Objective Natural language processing (NLP) combined with machine learning (ML)
techniques are increasingly used to process unstructured/free-text patient-reported outcome …
techniques are increasingly used to process unstructured/free-text patient-reported outcome …
Artificial intelligence in emergency medicine: a sco** review
Introduction Despite the growing investment in and adoption of artificial intelligence (AI) in
medicine, the applications of AI in an emergency setting remain unclear. This sco** …
medicine, the applications of AI in an emergency setting remain unclear. This sco** …
[HTML][HTML] Using machine learning to predict the diagnosis, management and severity of pediatric appendicitis
R Marcinkevics, P Reis Wolfertstetter… - Frontiers in …, 2021 - frontiersin.org
Background: Given the absence of consolidated and standardized international guidelines
for managing pediatric appendicitis and the few strictly data-driven studies in this specific …
for managing pediatric appendicitis and the few strictly data-driven studies in this specific …
How artificial intelligence could transform emergency department operations.
How artificial intelligence could transform emergency department operations. - Abstract - Europe
PMC Sign in | Create an account https://orcid.org Europe PMC Menu About Tools Developers …
PMC Sign in | Create an account https://orcid.org Europe PMC Menu About Tools Developers …
Increasing the efficiency of trial-patient matching: automated clinical trial eligibility pre-screening for pediatric oncology patients
Background Manual eligibility screening (ES) for a clinical trial typically requires a labor-
intensive review of patient records that utilizes many resources. Leveraging state-of-the-art …
intensive review of patient records that utilizes many resources. Leveraging state-of-the-art …
Machine learning to predict serious bacterial infections in young febrile infants
BACKGROUND: Recent decision rules for the management of febrile infants support the
identification of infants at higher risk of serious bacterial infections (SBIs) without the …
identification of infants at higher risk of serious bacterial infections (SBIs) without the …
Automated, machine learning–based alerts increase epilepsy surgery referrals: A randomized controlled trial
Objective To determine whether automated, electronic alerts increased referrals for epilepsy
surgery. Methods We conducted a prospective, randomized controlled trial of a natural …
surgery. Methods We conducted a prospective, randomized controlled trial of a natural …