Emergency Medicine

Machine-Learning-Based Electronic Triage More Accurately Differentiates Patients With Respect to Clinical Outcomes Compared With the Emergency Severity Index.

STUDY OBJECTIVE: Standards for emergency department (ED) triage in the United States rely heavily on...

Investigating the antifungal activity and mechanism of a microbial pesticide Shenqinmycin against Phoma sp.

Tea white scab (TWS) is a major disease affecting tea trees in mid-elevation regions and often occur...

Predicting symptomatic cerebral vasospasm after aneurysmal subarachnoid hemorrhage with an artificial neural network in a pediatric population.

PURPOSE: Artificial neural networks (ANN) are increasingly applied to complex medical problem solvin...

Automatic detection of hemorrhagic pericardial effusion on PMCT using deep learning - a feasibility study.

Post mortem computed tomography (PMCT) can be used as a triage tool to better identify cases with a ...

Prediction of Emergency Department Hospital Admission Based on Natural Language Processing and Neural Networks.

OBJECTIVE: To describe and compare logistic regression and neural network modeling strategies to pre...

A nonparametric Bayesian method of translating machine learning scores to probabilities in clinical decision support.

BACKGROUND: Probabilistic assessments of clinical care are essential for quality care. Yet, machine ...

Machine learning methods to predict child posttraumatic stress: a proof of concept study.

BACKGROUND: The care of traumatized children would benefit significantly from accurate predictive mo...

Artificial intelligence for analyzing orthopedic trauma radiographs.

Background and purpose - Recent advances in artificial intelligence (deep learning) have shown remar...

A comparison of rule-based and machine learning approaches for classifying patient portal messages.

OBJECTIVE: Secure messaging through patient portals is an increasingly popular way that consumers in...

A versatile and low-cost open source pipetting robot for automation of toxicological and ecotoxicological bioassays.

In the past decades, bioassays and whole-organism bioassay have become important tools not only in c...

What Is High Enough? Elevated NT-pro-BNP in Decompensated Paroxysmal Supraventricular Tachycardia.

Since the late 1980s, elevated atrial natriuretic peptide (ANP) was considered the cause of brisk di...

Hemorrhagic versus ischemic stroke: Who can best benefit from blended conventional physiotherapy with robotic-assisted gait therapy?

BACKGROUND: Contrary to common belief of clinicians that hemorrhagic stroke survivors have better fu...

Allium cepa root tip assay in assessment of toxicity of magnesium oxide nanoparticles and microparticles.

Allium cepa bioassay had been used from decades for the assessment of toxicants and their harmful ef...

ADMETNet: The knowledge base of pharmacokinetics and toxicology network.

Early Detection of Peak Demand Days of Chronic Respiratory Diseases Emergency Department Visits Using Artificial Neural Networks.

Chronic respiratory diseases, mainly asthma and chronic obstructive pulmonary disease (COPD), affect...

In Silico Prediction of Chemicals Binding to Aromatase with Machine Learning Methods.

Environmental chemicals may affect endocrine systems through multiple mechanisms, one of which is vi...

Creating an automated trigger for sepsis clinical decision support at emergency department triage using machine learning.

OBJECTIVE: To demonstrate the incremental benefit of using free text data in addition to vital sign ...

Utilization of machine learning for prediction of post-traumatic stress: a re-examination of cortisol in the prediction and pathways to non-remitting PTSD.

To date, studies of biological risk factors have revealed inconsistent relationships with subsequent...

A Framework for Mixed-Type Multioutcome Prediction With Applications in Healthcare.

Health analysis often involves prediction of multiple outcomes of mixed type. The existing work is r...

Prognosticating Functional Outcome After Intracerebral Hemorrhage: The ICHOP Score.

BACKGROUND: The morbidity, mortality, and monetary cost associated with intracerebral hemorrhage (IC...

Machine Learning Principles Can Improve Hip Fracture Prediction.

Apply machine learning principles to predict hip fractures and estimate predictor importance in Dual...