AIMC Topic: Emergency Service, Hospital
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Deep Learning for Chest Radiograph Diagnosis in the Emergency Department.
Radiology
Oct 22, 2019
BackgroundThe performance of a deep learning (DL) algorithm should be validated in actual clinical situations, before its clinical implementation.PurposeTo evaluate the performance of a DL algorithm for identifying chest radiographs with clinically r...
Promoting head CT exams in the emergency department triage using a machine learning model.
Neuroradiology
Oct 10, 2019
PURPOSE: In this study, we aimed to develop a novel prediction model to identify patients in need of a non-contrast head CT exam during emergency department (ED) triage.
Artificial intelligence to diagnose ischemic stroke and identify large vessel occlusions: a systematic review.
Journal of neurointerventional surgery
Oct 8, 2019
BACKGROUND AND PURPOSE: Acute stroke caused by large vessel occlusions (LVOs) requires emergent detection and treatment by endovascular thrombectomy. However, radiologic LVO detection and treatment is subject to variable delays and human expertise, r...
Improving documentation of presenting problems in the emergency department using a domain-specific ontology and machine learning-driven user interfaces.
International journal of medical informatics
Sep 27, 2019
OBJECTIVES: To determine the effect of a domain-specific ontology and machine learning-driven user interfaces on the efficiency and quality of documentation of presenting problems (chief complaints) in the emergency department (ED).
Validation of a Machine Learning Model That Outperforms Clinical Risk Scoring Systems for Upper Gastrointestinal Bleeding.
Gastroenterology
Sep 25, 2019
BACKGROUND & AIMS: Scoring systems are suboptimal for determining risk in patients with upper gastrointestinal bleeding (UGIB); these might be improved by a machine learning model. We used machine learning to develop a model to calculate the risk of ...
CCMapper: An adaptive NLP-based free-text chief complaint mapping algorithm.
Computers in biology and medicine
Aug 21, 2019
OBJECTIVE: Chief complaint (CC) is among the earliest health information recorded at the beginning of a patient's visit to an emergency department (ED). We propose a heuristic methodology for automatically mapping the free-text data into a structured...
Automated detection of altered mental status in emergency department clinical notes: a deep learning approach.
BMC medical informatics and decision making
Aug 19, 2019
BACKGROUND: Machine learning has been used extensively in clinical text classification tasks. Deep learning approaches using word embeddings have been recently gaining momentum in biomedical applications. In an effort to automate the identification o...
Home care aides' observations and machine learning algorithms for the prediction of visits to emergency departments by older community-dwelling individuals receiving home care assistance: A proof of concept study.
PloS one
Aug 13, 2019
BACKGROUND: Older individuals receiving home assistance are at high risk for emergency visits and unplanned hospitalization. Anticipating their health difficulties could prevent these events. This study investigated the effectiveness of an at-home mo...
Home Care Services
Home Health Aides
Male
Surveys and Questionnaires
Female
Emergency Service, Hospital
Humans
Frail Elderly
Hospitalization
Geriatric Assessment
Machine Learning
Predictive Value of Tests
Aged
Algorithms
Proof of Concept Study
Aged, 80 and over
Independent Living
Prospective Studies
Training machine learning models to predict 30-day mortality in patients discharged from the emergency department: a retrospective, population-based registry study.
BMJ open
Aug 10, 2019
OBJECTIVES: The aim of this work was to train machine learning models to identify patients at end of life with clinically meaningful diagnostic accuracy, using 30-day mortality in patients discharged from the emergency department (ED) as a proxy.
Development and validation of a pragmatic natural language processing approach to identifying falls in older adults in the emergency department.
BMC medical informatics and decision making
Jul 22, 2019
BACKGROUND: Falls among older adults are both a common reason for presentation to the emergency department, and a major source of morbidity and mortality. It is critical to identify fall patients quickly and reliably during, and immediately after, em...
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