AIMC Topic: Electronic Health Records

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FeARH: Federated machine learning with anonymous random hybridization on electronic medical records.

Journal of biomedical informatics Mar 9, 2021
Electrical medical records are restricted and difficult to centralize for machine learning model training due to privacy and regulatory issues. One solution is to train models in a distributed manner that involves many parties in the process. However...
Electronic Health Records Privacy Machine Learning Algorithms Research Design
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Predicting opioid overdose risk of patients with opioid prescriptions using electronic health records based on temporal deep learning.

Journal of biomedical informatics Mar 9, 2021
The US is experiencing an opioid epidemic, and opioid overdose is causing more than 100 deaths per day. Early identification of patients at high risk of Opioid Overdose (OD) can help to make targeted preventative interventions. We aim to build a deep...
Opiate Overdose Humans Deep Learning Electronic Health Records Analgesics, Opioid Prescriptions
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Explainable automated coding of clinical notes using hierarchical label-wise attention networks and label embedding initialisation.

Journal of biomedical informatics Mar 9, 2021
BACKGROUND: Diagnostic or procedural coding of clinical notes aims to derive a coded summary of disease-related information about patients. Such coding is usually done manually in hospitals but could potentially be automated to improve the efficiency...
United Kingdom Medical Informatics Clinical Coding SARS-CoV-2 Pandemics Deep Learning COVID-19 Humans Electronic Health Records Neural Networks, Computer
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A new approach to medical diagnostic decision support.

Journal of biomedical informatics Mar 9, 2021
Data mining is a powerful tool to reduce costs and mitigate errors in the diagnostic analysis and repair of complex engineered system, but it has yet to be applied systematically to the most complex and socially expensive system - the human body. The...
Humans Artificial Intelligence Software Electronic Health Records Bayes Theorem Knowledge Bases
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Prediction of Drug-Induced Long QT Syndrome Using Machine Learning Applied to Harmonized Electronic Health Record Data.

Journal of cardiovascular pharmacology and therapeutics Mar 8, 2021
BACKGROUND: Drug-induced QT prolongation is a potentially preventable cause of morbidity and mortality, however there are no widespread clinical tools utilized to predict which individuals are at greatest risk. Machine learning (ML) algorithms may pr...
Male Middle Aged Risk Assessment Deep Learning Electrocardiography Long QT Syndrome Female Aged Adult Machine Learning Electronic Health Records Humans
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Natural Language Processing and Machine Learning for Identifying Incident Stroke From Electronic Health Records: Algorithm Development and Validation.

Journal of medical Internet research Mar 8, 2021
BACKGROUND: Stroke is an important clinical outcome in cardiovascular research. However, the ascertainment of incident stroke is typically accomplished via time-consuming manual chart abstraction. Current phenotyping efforts using electronic health r...
Machine Learning Algorithms Electronic Health Records Natural Language Processing Stroke Humans
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Individualized prediction of COVID-19 adverse outcomes with MLHO.

Scientific reports Mar 5, 2021
The COVID-19 pandemic has devastated the world with health and economic wreckage. Precise estimates of adverse outcomes from COVID-19 could have led to better allocation of healthcare resources and more efficient targeted preventive measures, includi...
COVID-19 Prognosis Retrospective Studies Humans Machine Learning Pandemics Reproducibility of Results SARS-CoV-2 Risk Factors Intensive Care Units Electronic Health Records Female Data Mining Middle Aged Risk Assessment Respiration, Artificial ROC Curve Age Factors Models, Statistical Aged, 80 and over Adult Male Hospitalization Aged
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Disease Prediction via Graph Neural Networks.

IEEE journal of biomedical and health informatics Mar 5, 2021
With the increasingly available electronic medical records (EMRs), disease prediction has recently gained immense research attention, where an accurate classifier needs to be trained to map the input prediction signals (e.g., symptoms, patient demogr...
Machine Learning Electronic Health Records Female Humans Neural Networks, Computer
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Artificial Intelligence Techniques That May Be Applied to Primary Care Data to Facilitate Earlier Diagnosis of Cancer: Systematic Review.

Journal of medical Internet research Mar 3, 2021
BACKGROUND: More than 17 million people worldwide, including 360,000 people in the United Kingdom, were diagnosed with cancer in 2018. Cancer prognosis and disease burden are highly dependent on the disease stage at diagnosis. Most people diagnosed w...
Electronic Health Records Neoplasms Primary Health Care Humans Artificial Intelligence United Kingdom
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Cohort profile: St. Michael's Hospital Tuberculosis Database (SMH-TB), a retrospective cohort of electronic health record data and variables extracted using natural language processing.

PloS one Mar 3, 2021
BACKGROUND: Tuberculosis (TB) is a major cause of death worldwide. TB research draws heavily on clinical cohorts which can be generated using electronic health records (EHR), but granular information extracted from unstructured EHR data is limited. T...
Natural Language Processing Humans Male Retrospective Studies Databases, Factual Tuberculosis Hospitals Electronic Health Records Information Storage and Retrieval Ontario Female
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