AIMC Topic: Electronic Health Records

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OLR-Net: Object Label Retrieval Network for principal diagnosis extraction.

Computers in biology and medicine Sep 16, 2024
BACKGROUND: Extracting principal diagnosis from patient discharge summaries is an essential task for the meaningful use of medical data. The extraction process, usually by medical staff, is laborious and time-consuming. Although automatic models have...
Humans Neural Networks, Computer Electronic Health Records
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Criticality of Nursing Care for Patients With Alzheimer's Disease in the ICU: Insights From MIMIC III Dataset.

Clinical nursing research Sep 16, 2024
Alzheimer's disease (AD) patients admitted to intensive care units (ICUs) exhibit varying survival outcomes due to the unique challenges in managing AD patients. Stratifying patient mortality risk and understanding the criticality of nursing care are...
Aged Aged, 80 and over Male Alzheimer Disease Intensive Care Units Electronic Health Records Female Humans Machine Learning
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Predicting hypoglycemia in ICU patients: a machine learning approach.

Expert review of endocrinology & metabolism Sep 16, 2024
BACKGROUND: The current study sets out to develop and validate a robust machine-learning model utilizing electronic health records (EHR) to forecast the risk of hypoglycemia among ICU patients in Jordan.
Aged Adult Male Middle Aged Intensive Care Units Humans Hypoglycemia Electronic Health Records Machine Learning Jordan Female
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Artificial intelligence scribes in primary care.

CMAJ : Canadian Medical Association journal = journal de l'Association medicale canadienne Sep 15, 2024
Humans Artificial Intelligence Electronic Health Records Primary Health Care
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Validation of anorexia nervosa and Bulimia nervosa diagnosis coding in Danish hospitals assisted by a natural language processing model.

Journal of psychiatric research Sep 14, 2024
INTRODUCTION: The Danish Health Care Registers rely on the International Statistical Classification of Diseases and Related Health Problems (ICD)-classification and stand as a widely utilized resource for health epidemiological research. Eating disor...
Clinical Coding Anorexia Nervosa Bulimia Nervosa Natural Language Processing Registries International Classification of Diseases Humans Electronic Health Records Male Female Adolescent Young Adult Denmark Adult
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Utility analysis and demonstration of real-world clinical texts: A case study on Japanese cancer-related EHRs.

PloS one Sep 11, 2024
Real-world data (RWD) in the medical field, such as electronic health records (EHRs) and medication orders, are receiving increasing attention from researchers and practitioners. While structured data have played a vital role thus far, unstructured d...
Data Mining Neoplasms Natural Language Processing Humans Japan Machine Learning Electronic Health Records
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Extracting seizure control metrics from clinic notes of patients with epilepsy: A natural language processing approach.

Epilepsy research Sep 10, 2024
OBJECTIVES: Monitoring seizure control metrics is key to clinical care of patients with epilepsy. Manually abstracting these metrics from unstructured text in electronic health records (EHR) is laborious. We aimed to abstract the date of last seizure...
Adult Male Middle Aged Electronic Health Records Female Young Adult Natural Language Processing Epilepsy Seizures Humans Algorithms
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A Machine Learning Method for Allocating Scarce COVID-19 Monoclonal Antibodies.

JAMA health forum Sep 6, 2024
IMPORTANCE: During the COVID-19 pandemic, the effective distribution of limited treatments became a crucial policy goal. Yet, limited research exists using electronic health record data and machine learning techniques, such as policy learning trees (...
Humans Machine Learning COVID-19 Random Forest United States Food and Drug Administration COVID-19 Drug Treatment Antibodies, Viral Young Adult Health Policy Adult Antibodies, Monoclonal SARS-CoV-2 Male Hospitalization Middle Aged Aged Health Care Rationing Severity of Illness Index Retrospective Studies Emergency Use Authorization Adolescent Electronic Health Records Female
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Machine Learning to Enhance Electronic Detection of Diagnostic Errors.

JAMA network open Sep 3, 2024
Machine Learning Humans Electronic Health Records Diagnostic Errors
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AI-Powered Clinical Documentation and Clinicians' Electronic Health Record Experience: A Nonrandomized Clinical Trial.

JAMA network open Sep 3, 2024
Male Middle Aged Documentation Electronic Health Records Female Humans Adult Artificial Intelligence
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