AIMC Topic: Electronic Health Records

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RegEMR: a natural language processing system to automatically identify premature ovarian decline from Chinese electronic medical records.

BMC medical informatics and decision making Jul 18, 2023
BACKGROUND: The ovarian reserve is a reservoir for reproductive potential. In clinical practice, early detection and treatment of premature ovarian decline characterized by abnormal ovarian reserve tests is regarded as a critical measure to prevent i...
Natural Language Processing Primary Ovarian Insufficiency Language Female Electronic Health Records Humans Artificial Intelligence
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A weakly supervised method for named entity recognition of Chinese electronic medical records.

Medical & biological engineering & computing Jul 15, 2023
The field of Chinese medical natural language processing faces a significant challenge in training accurate entity recognition models due to the limited availability of high-quality labeled data. In response, we propose a joint training model, MCBERT...
China Natural Language Processing Language Humans Electronic Health Records
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SCOPE: predicting future diagnoses in office visits using electronic health records.

Scientific reports Jul 7, 2023
We propose an interpretable and scalable model to predict likely diagnoses at an encounter based on past diagnoses and lab results. This model is intended to aid physicians in their interaction with the electronic health records (EHR). To accomplish ...
Forecasting Retrospective Studies Humans Neural Networks, Computer Logistic Models Electronic Health Records
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Doctors Identify Hemorrhage Better during Chart Review when Assisted by Artificial Intelligence.

Applied clinical informatics Jul 3, 2023
OBJECTIVES: This study evaluated if medical doctors could identify more hemorrhage events during chart review in a clinical setting when assisted by an artificial intelligence (AI) model and medical doctors' perception of using the AI model.
Hemorrhage Artificial Intelligence Physicians Electronic Health Records Hospitalization Humans
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Can the Electronic Health Record Predict Risk of Falls in Hospitalized Patients by Using Artificial Intelligence? A Meta-analysis.

Computers, informatics, nursing : CIN Jul 1, 2023
Because of an aging population worldwide, the increasing prevalence of falls and their consequent injuries are becoming a safety, health, and social-care issue among elderly people. We conducted a meta-analysis to investigate the benchmark of predict...
Accidental Falls Artificial Intelligence Humans Patients Electronic Health Records Aged Sensitivity and Specificity
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Deep learning prediction models based on EHR trajectories: A systematic review.

Journal of biomedical informatics Jun 26, 2023
BACKGROUND: Electronic health records (EHRs) are generated at an ever-increasing rate. EHR trajectories, the temporal aspect of health records, facilitate predicting patients' future health-related risks. It enables healthcare systems to increase the...
Cardiovascular Diseases Deep Learning Electronic Health Records Neural Networks, Computer Humans Forecasting
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Overview of the 2022 n2c2 shared task on contextualized medication event extraction in clinical notes.

Journal of biomedical informatics Jun 24, 2023
BACKGROUND: An accurate medication history, foundational for providing quality medical care, requires understanding of medication change events documented in clinical notes. However, extracting medication changes without the necessary clinical contex...
Language Humans Natural Language Processing Electronic Health Records
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Developing an Automated Registry (Autoregistry) of Spine Surgery Using Natural Language Processing and Health System Scale Databases.

Neurosurgery Jun 22, 2023
BACKGROUND AND OBJECTIVES: Clinical registries are critical for modern surgery and underpin outcomes research, device monitoring, and trial development. However, existing approaches to registry construction are labor-intensive, costly, and prone to m...
Electronic Health Records Software Algorithms Registries Humans Natural Language Processing
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A novel missing data imputation approach based on clinical conditional Generative Adversarial Networks applied to EHR datasets.

Computers in biology and medicine Jun 22, 2023
The missing data mechanism is a relevant problem in Machine Learning (ML) and biomedical informatics communities. Real-world Electronic Health Record (EHR) datasets comprise several missing values, thus revealing a high level of spatiotemporal sparsi...
Data Interpretation, Statistical Machine Learning Humans Electronic Health Records
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Supervised Text Classification System Detects Fontan Patients in Electronic Records With Higher Accuracy Than Codes.

Journal of the American Heart Association Jun 22, 2023
Background The Fontan operation is associated with significant morbidity and premature mortality. Fontan cases cannot always be identified by () codes, making it challenging to create large Fontan patient cohorts. We sought to develop natural langua...
Electronics Humans International Classification of Diseases Electronic Health Records Machine Learning Natural Language Processing
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