AIMC Topic: Electronic Health Records

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Self-Supervised Graph Learning With Hyperbolic Embedding for Temporal Health Event Prediction.

IEEE transactions on cybernetics Mar 16, 2023
Electronic health records (EHRs) have been heavily used in modern healthcare systems for recording patients' admission information to health facilities. Many data-driven approaches employ temporal features in EHR for predicting specific diseases, rea...
Humans Neural Networks, Computer Electronic Health Records
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Integrating machine learning with linguistic features: A universal method for extraction and normalization of temporal expressions in Chinese texts.

Computer methods and programs in biomedicine Mar 11, 2023
BACKGROUND AND OBJECTIVE: With the rapid development of information dissemination technology, the amount of events information contained in massive texts now far exceeds the intuitive cognition of humans, and it is hard to understand the progress of ...
Humans Machine Learning Electronic Health Records Natural Language Processing Linguistics
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Novel architecture for gated recurrent unit autoencoder trained on time series from electronic health records enables detection of ICU patient subgroups.

Scientific reports Mar 11, 2023
Electronic health records (EHRs) are used in hospitals to store diagnoses, clinician notes, examinations, lab results, and interventions for each patient. Grouping patients into distinct subsets, for example, via clustering, may enable the discovery ...
Comorbidity Time Factors Intensive Care Units Electronic Health Records Humans Machine Learning
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A Natural Language Processing Model to Identify Confidential Content in Adolescent Clinical Notes.

Applied clinical informatics Mar 10, 2023
BACKGROUND: The 21st Century Cures Act mandates the immediate, electronic release of health information to patients. However, in the case of adolescents, special consideration is required to ensure that confidentiality is maintained. The detection of...
Natural Language Processing Confidentiality Language Adolescent Documentation Algorithms Electronic Health Records Humans
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Natural language processing in radiology: Clinical applications and future directions.

Clinical imaging Mar 5, 2023
Natural language processing (NLP) is a wide range of techniques that allows computers to interact with human text. Applications of NLP in everyday life include language translation aids, chat bots, and text prediction. It has been increasingly utiliz...
Electronic Health Records Natural Language Processing Radiography Humans Radiology
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Assessment of Natural Language Processing of Electronic Health Records to Measure Goals-of-Care Discussions as a Clinical Trial Outcome.

JAMA network open Mar 1, 2023
IMPORTANCE: Many clinical trial outcomes are documented in free-text electronic health records (EHRs), making manual data collection costly and infeasible at scale. Natural language processing (NLP) is a promising approach for measuring such outcomes...
Feasibility Studies Data Collection Deep Learning Natural Language Processing Clinical Trials as Topic Patient Care Planning Female Computer Simulation Hospitalization Electronic Health Records Male Aged Middle Aged Humans
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Deep-learning-based prognostic modeling for incident heart failure in patients with diabetes using electronic health records: A retrospective cohort study.

PloS one Feb 21, 2023
Patients with type 2 diabetes mellitus (T2DM) have more than twice the risk of developing heart failure (HF) compared to patients without diabetes. The present study is aimed to build an artificial intelligence (AI) prognostic model that takes in acc...
Electronic Health Records Prognosis Risk Factors Retrospective Studies Diabetes Mellitus, Type 2 Deep Learning Humans Heart Failure Artificial Intelligence
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Natural Language Processing in Electronic Health Records in relation to healthcare decision-making: A systematic review.

Computers in biology and medicine Feb 10, 2023
BACKGROUND: Natural Language Processing (NLP) is widely used to extract clinical insights from Electronic Health Records (EHRs). However, the lack of annotated data, automated tools, and other challenges hinder the full utilisation of NLP for EHRs. V...
Delivery of Health Care Electronic Health Records Humans Natural Language Processing Machine Learning Information Storage and Retrieval
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Building an automated, machine learning-enabled platform for predicting post-operative complications.

Physiological measurement Feb 9, 2023
. In 2019, the University of Florida College of Medicine launched thealgorithm to predict eight major post-operative complications using automatically extracted data from the electronic health record.. This project was developed in parallel with our ...
Forecasting Electronic Health Records Humans Machine Learning
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Using natural language processing to identify child maltreatment in health systems.

Child abuse & neglect Feb 8, 2023
BACKGROUND: Rates of child maltreatment (CM) obtained from electronic health records are much lower than national child welfare prevalence rates indicate. There is a need to understand how CM is documented to improve reporting and surveillance.
Child Natural Language Processing Child Abuse Washington Humans International Classification of Diseases Adolescent Electronic Health Records Child, Preschool Female Infant, Newborn Infant
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