AIMC Topic: Electronic Health Records

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Using natural language processing to identify opioid use disorder in electronic health record data.

International journal of medical informatics Dec 10, 2022
BACKGROUND: As opioid prescriptions have risen, there has also been an increase in opioid use disorder (OUD) and its adverse outcomes. Accurate and complete epidemiologic surveillance of OUD, to inform prevention strategies, presents challenges. The ...
Humans Algorithms Analgesics, Opioid Opioid-Related Disorders Electronic Health Records Natural Language Processing
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Validation of a Deep Learning-Based Model to Predict Lung Cancer Risk Using Chest Radiographs and Electronic Medical Record Data.

JAMA network open Dec 1, 2022
IMPORTANCE: Lung cancer screening with chest computed tomography (CT) prevents lung cancer death; however, fewer than 5% of eligible Americans are screened. CXR-LC, an open-source deep learning tool that estimates lung cancer risk from existing chest...
Humans Early Detection of Cancer Medicare Middle Aged Aged Deep Learning Male Lung Neoplasms Electronic Health Records United States Female
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Practice-Based Learning and Improvement: Improving Morbidity and Mortality Review Using Natural Language Processing.

The Journal of surgical research Nov 22, 2022
INTRODUCTION: Practice-Based Learning and Improvement, a core competency identified by the Accreditation Council for Graduate Medical Education, carries importance throughout a physician's career. Practice-Based Learning and Improvement is cultivated...
Morbidity Algorithms Prospective Studies Electronic Health Records Natural Language Processing Humans Machine Learning
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COMMUTE: Communication-efficient transfer learning for multi-site risk prediction.

Journal of biomedical informatics Nov 18, 2022
OBJECTIVES: We propose a communication-efficient transfer learning approach (COMMUTE) that effectively incorporates multi-site healthcare data for training a risk prediction model in a target population of interest, accounting for challenges includin...
Electronic Health Records Communication Genomics Machine Learning Computer Simulation
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Using model explanations to guide deep learning models towards consistent explanations for EHR data.

Scientific reports Nov 18, 2022
It has been shown that identical deep learning (DL) architectures will produce distinct explanations when trained with different hyperparameters that are orthogonal to the task (e.g. random seed, training set order). In domains such as healthcare and...
Electronic Health Records Deep Learning Forecasting
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MLM-based typographical error correction of unstructured medical texts for named entity recognition.

BMC bioinformatics Nov 16, 2022
BACKGROUND: Unstructured text in medical records, such as Electronic Health Records, contain an enormous amount of valuable information for research; however, it is difficult to extract and structure important information because of frequent typograp...
Electronic Health Records Language Information Storage and Retrieval Natural Language Processing PubMed
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Artificial intelligence-based methods for fusion of electronic health records and imaging data.

Scientific reports Oct 26, 2022
Healthcare data are inherently multimodal, including electronic health records (EHR), medical images, and multi-omics data. Combining these multimodal data sources contributes to a better understanding of human health and provides optimal personalize...
Algorithms Diagnostic Imaging Artificial Intelligence Humans Electronic Health Records Machine Learning
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Joint modeling strategy for using electronic medical records data to build machine learning models: an example of intracerebral hemorrhage.

BMC medical informatics and decision making Oct 25, 2022
BACKGROUND: Outliers and class imbalance in medical data could affect the accuracy of machine learning models. For physicians who want to apply predictive models, how to use the data at hand to build a model and what model to choose are very thorny p...
Support Vector Machine Reactive Oxygen Species Machine Learning Electronic Health Records Cerebral Hemorrhage Humans
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Getting More Out of Large Databases and EHRs with Natural Language Processing and Artificial Intelligence: The Future Is Here.

The Journal of bone and joint surgery. American volume Oct 19, 2022
Electronic health records (EHRs) have created great opportunities to collect various information from clinical patient encounters. However, most EHR data are stored in unstructured form (e.g., clinical notes, surgical notes, and medication instructio...
Natural Language Processing Artificial Intelligence Electronic Health Records Databases, Factual Humans
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Identifying the presence and severity of dementia by applying interpretable machine learning techniques on structured clinical records.

BMC medical informatics and decision making Oct 17, 2022
BACKGROUND: Dementia develops as cognitive abilities deteriorate, and early detection is critical for effective preventive interventions. However, mainstream diagnostic tests and screening tools, such as CAMCOG and MMSE, often fail to detect dementia...
Machine Learning Algorithms Electronic Health Records Aged Humans Dementia Neuropsychological Tests
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