AIMC Topic: Alberta

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Extracting social determinants of health from inpatient electronic medical records using natural language processing.

Journal of epidemiology and population health Nov 14, 2024
BACKGROUND: Social determinants of health (SDOH) have been shown to be important predictors of health outcomes. Here we developed methods to extract them from inpatient electronic medical record (EMR) data using techniques compatible with current EMR...
Adult Male Middle Aged Educational Status Hospitalization Aged Social Determinants of Health Alberta Communication Barriers Adolescent Inpatients Natural Language Processing Humans Algorithms Electronic Health Records Female
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Clinical and socioeconomic predictors of hospital use and emergency department visits among children with medical complexity: A machine learning approach using administrative data.

PloS one Oct 29, 2024
OBJECTIVES: The primary objective of this study was to identify clinical and socioeconomic predictors of hospital and ED use among children with medical complexity within 1 and 5 years of an initial discharge between 2010 and 2013. A secondary object...
Infant, Newborn Hospitalization Male Machine Learning Retrospective Studies Female Child, Preschool Child Socioeconomic Factors Infant Length of Stay Adolescent Humans Emergency Service, Hospital Alberta Emergency Room Visits
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Evaluating spatially enabled machine learning approaches to depth to bedrock mapping, Alberta, Canada.

PloS one Mar 27, 2024
Maps showing the thickness of sediments above the bedrock (depth to bedrock, or DTB) are important for many geoscience studies and are necessary for many hydrogeological, engineering, mining, and forestry applications. However, it can be difficult to...
Alberta Satellite Imagery Machine Learning Algorithms Spatial Analysis
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Clinical evaluation of a deep-learning model for automatic scoring of the Alberta stroke program early CT score on non-contrast CT.

Journal of neurointerventional surgery Dec 19, 2023
BACKGROUND: Automated measurement of the Alberta Stroke Program Early Computed Tomography Score (ASPECTS) can support clinical decision making. Based on a deep learning algorithm, we developed an automated ASPECTS scoring system (Heuron ASPECTS) and ...
Deep Learning Ischemic Stroke Stroke Brain Ischemia Alberta Humans Retrospective Studies Tomography, X-Ray Computed
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DGA3-Net: A parameter-efficient deep learning model for ASPECTS assessment for acute ischemic stroke using non-contrast computed tomography.

NeuroImage. Clinical May 19, 2023
Detecting the early signs of stroke using non-contrast computerized tomography (NCCT) is essential for the diagnosis of acute ischemic stroke (AIS). However, the hypoattenuation in NCCT is difficult to precisely identify, and accurate assessments of ...
Brain Ischemia Alberta Deep Learning Ischemic Stroke Humans Stroke Retrospective Studies Tomography, X-Ray Computed
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Deep Learning-Based Recurrent Delirium Prediction in Critically Ill Patients.

Critical care medicine Feb 15, 2023
OBJECTIVES: To predict impending delirium in ICU patients using recurrent deep learning.
Deep Learning Delirium Alberta Humans Retrospective Studies Critical Illness Intensive Care Units
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Validating administrative data to identify complex surgical site infections following cardiac implantable electronic device implantation: a comparison of traditional methods and machine learning.

Antimicrobial resistance and infection control Nov 10, 2022
BACKGROUND: Cardiac implantable electronic device (CIED) surgical site infections (SSIs) have been outpacing the increases in implantation of these devices. While traditional surveillance of these SSIs by infection prevention and control would likely...
Humans Machine Learning Cohort Studies Electronics Surgical Wound Infection Alberta
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Developing EMR-based algorithms to Identify hospital adverse events for health system performance evaluation and improvement: Study protocol.

PloS one Oct 5, 2022
BACKGROUND: Measurement of care quality and safety mainly relies on abstracted administrative data. However, it is well studied that administrative data-based adverse event (AE) detection methods are suboptimal due to lack of clinical information. El...
Humans Alberta Algorithms Hospitals Electronic Health Records Natural Language Processing Systematic Reviews as Topic
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Deep learning derived automated ASPECTS on non-contrast CT scans of acute ischemic stroke patients.

Human brain mapping Mar 31, 2022
Ischemic stroke is the most common type of stroke, ranked as the second leading cause of death worldwide. The Alberta Stroke Program Early CT Score (ASPECTS) is considered as a systematic method of assessing ischemic change on non-contrast CT scans (...
Stroke Brain Ischemia Alberta Tomography, X-Ray Computed Deep Learning Ischemic Stroke Humans Retrospective Studies
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Study protocol for a randomised controlled trial of humanoid robot-based distraction for venipuncture pain in children.

BMJ open Dec 14, 2018
INTRODUCTION: Intravenous insertion (IVI) is a very common procedure in the emergency department (ED). IVI is often painful and stressful for both children and their families. Currently, distraction therapy is not used as a standard of care for IVI i...
Phlebotomy Emergency Service, Hospital Alberta Child Pain Measurement Equivalence Trials as Topic Attention Infusions, Intravenous Hospitals, Pediatric Pain Management Humans Robotics Adaptation, Psychological Female Male
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