AIMC Topic: Electronic Health Records

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Development of a Machine Learning Model Using Electronic Health Record Data to Identify Antibiotic Use Among Hospitalized Patients.

JAMA network open Mar 1, 2021
IMPORTANCE: Comparisons of antimicrobial use among hospitals are difficult to interpret owing to variations in patient case mix. Risk-adjustment strategies incorporating larger numbers of variables haves been proposed as a method to improve compariso...
Humans Machine Learning Anti-Bacterial Agents Antimicrobial Stewardship Middle Aged Risk Assessment Infant Adolescent Child, Preschool Child Follow-Up Studies Inpatients Aged Young Adult Adult Male Retrospective Studies Electronic Health Records Female
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Technology Acceptance of a Machine Learning Algorithm Predicting Delirium in a Clinical Setting: a Mixed-Methods Study.

Journal of medical systems Mar 1, 2021
Early identification of patients with life-threatening risks such as delirium is crucial in order to initiate preventive actions as quickly as possible. Despite intense research on machine learning for the prediction of clinical outcomes, the accepta...
Algorithms Electronic Health Records Clinical Decision-Making Female Humans Machine Learning Pilot Projects Australia Diagnostic Errors Diagnosis, Differential Male Delirium Middle Aged Psychiatric Status Rating Scales
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Personalized prediction of early childhood asthma persistence: A machine learning approach.

PloS one Mar 1, 2021
Early childhood asthma diagnosis is common; however, many children diagnosed before age 5 experience symptom resolution and it remains difficult to identify individuals whose symptoms will persist. Our objective was to develop machine learning models...
Humans Machine Learning Prognosis Probability Electronic Health Records Eczema Asthma Child, Preschool Rhinitis, Allergic
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Optimizing predictive strategies for acute kidney injury after major vascular surgery.

Surgery Feb 27, 2021
BACKGROUND: Postoperative acute kidney injury is common after major vascular surgery and is associated with increased morbidity, mortality, and cost. High-performance risk stratification using a machine learning model can inform strategies that mitig...
Risk Assessment Postoperative Complications Comorbidity ROC Curve Vascular Surgical Procedures Humans Female Machine Learning Aged Male Retrospective Studies Middle Aged Acute Kidney Injury Electronic Health Records
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Leveraging electronic health records data to predict multiple sclerosis disease activity.

Annals of clinical and translational neurology Feb 24, 2021
OBJECTIVE: No relapse risk prediction tool is currently available to guide treatment selection for multiple sclerosis (MS). Leveraging electronic health record (EHR) data readily available at the point of care, we developed a clinical tool for predic...
Humans Machine Learning Longitudinal Studies Registries Multiple Sclerosis Recurrence Adult Prognosis Male Electronic Health Records Middle Aged Female Disease Progression
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Personalized Risk Prediction for 30-Day Readmissions With Venous Thromboembolism Using Machine Learning.

Journal of nursing scholarship : an official publication of Sigma Theta Tau International Honor Society of Nursing Feb 22, 2021
PURPOSE: The aim of the study was to develop and validate machine learning models to predict the personalized risk for 30-day readmission with venous thromboembolism (VTE).
Patient Readmission Venous Thromboembolism Academic Medical Centers Male Middle Aged Risk Assessment Models, Statistical Female Aged Adult Humans Machine Learning Retrospective Studies Electronic Health Records
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Artificial intelligence supported anemia control system (AISACS) to prevent anemia in maintenance hemodialysis patients.

International journal of medical sciences Feb 22, 2021
Anemia, for which erythropoiesis-stimulating agents (ESAs) and iron supplements (ISs) are used as preventive measures, presents important difficulties for hemodialysis patients. Nevertheless, the number of physicians able to manage such medications a...
Hematinics Hemoglobins Anemia Adult Datasets as Topic Electronic Health Records Renal Dialysis Male Humans Female Decision Support Systems, Clinical Middle Aged Machine Learning Iron Aged Retrospective Studies Kidney Failure, Chronic Aged, 80 and over
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Precision Assessment of COVID-19 Phenotypes Using Large-Scale Clinic Visit Audio Recordings: Harnessing the Power of Patient Voice.

Journal of medical Internet research Feb 19, 2021
COVID-19 cases are exponentially increasing worldwide; however, its clinical phenotype remains unclear. Natural language processing (NLP) and machine learning approaches may yield key methods to rapidly identify individuals at a high risk of COVID-19...
Humans Machine Learning COVID-19 Phenotype Communications Media Electronic Health Records SARS-CoV-2 Natural Language Processing Ambulatory Care
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Systematic review of approaches to use of neighborhood-level risk factors with clinical data to predict clinical risk and recommend interventions.

Journal of biomedical informatics Feb 18, 2021
BACKGROUND: Despite a large body of literature investigating how the environment influences health outcomes, most published work to date includes only a limited subset of the rich clinical and environmental data that is available and does not address...
Humans Machine Learning Electronic Health Records Risk Factors
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Multimodal temporal-clinical note network for mortality prediction.

Journal of biomedical semantics Feb 15, 2021
BACKGROUND: Mortality prediction is an important task to achieve smart healthcare, especially for the management of intensive care unit. It can provide a reference for doctors to quickly predict the course of disease and customize early intervention ...
Humans Neural Networks, Computer Electronic Health Records
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