Extracting information from the text of electronic medical records to improve case detection: a systematic review
Abstract Background Electronic medical records (EMRs) are revolutionizing health-related
research. One key issue for study quality is the accurate identification of patients with the …
research. One key issue for study quality is the accurate identification of patients with the …
[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 …
Disaster and pandemic management using machine learning: a survey
This article provides a literature review of state-of-the-art machine learning (ML) algorithms
for disaster and pandemic management. Most nations are concerned about disasters and …
for disaster and pandemic management. Most nations are concerned about disasters and …
Clinical text classification research trends: systematic literature review and open issues
The pervasive use of electronic health databases has increased the accessibility of free-text
clinical reports for supplementary use. Several text classification approaches, such as …
clinical reports for supplementary use. Several text classification approaches, such as …
[HTML][HTML] Automating and improving cardiovascular disease prediction using Machine learning and EMR data features from a regional healthcare system
Abstract Background The ACC/AHA Pooled Cohort Equations (PCE) Risk Calculator is
widely used in the US for primary prevention of atherosclerotic cardiovascular disease …
widely used in the US for primary prevention of atherosclerotic cardiovascular disease …
A review of automatic phenotyping approaches using electronic health records
Electronic Health Records (EHR) are a rich repository of valuable clinical information that
exist in primary and secondary care databases. In order to utilize EHRs for medical …
exist in primary and secondary care databases. In order to utilize EHRs for medical …
Moonstone: a novel natural language processing system for inferring social risk from clinical narratives
Background Social risk factors are important dimensions of health and are linked to access
to care, quality of life, health outcomes and life expectancy. However, in the Electronic …
to care, quality of life, health outcomes and life expectancy. However, in the Electronic …
Automated, machine learning–based alerts increase epilepsy surgery referrals: A randomized controlled trial
BD Wissel, HM Greiner, TA Glauser, FT Mangano… - …, 2023 - Wiley Online Library
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 …
[HTML][HTML] Comparison of machine learning classifiers for influenza detection from emergency department free-text reports
Influenza is a yearly recurrent disease that has the potential to become a pandemic. An
effective biosurveillance system is required for early detection of the disease. In our previous …
effective biosurveillance system is required for early detection of the disease. In our previous …
[HTML][HTML] Implementation of machine learning pipelines for clinical practice: development and validation study
Background: Artificial intelligence (AI) technologies, such as machine learning and natural
language processing, have the potential to provide new insights into complex health data …
language processing, have the potential to provide new insights into complex health data …