AIMC Topic: Electronic Health Records

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Leveraging Natural Language Processing to Improve Electronic Health Record Suicide Risk Prediction for Veterans Health Administration Users.

The Journal of clinical psychiatry Jun 19, 2023
Suicide risk prediction models frequently rely on structured electronic health record (EHR) data, including patient demographics and health care usage variables. Unstructured EHR data, such as clinical notes, may improve predictive accuracy by allow...
Humans Machine Learning Natural Language Processing Algorithms Veterans Health Electronic Health Records
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Identifying Young Adults at High Risk for Weight Gain Using Machine Learning.

The Journal of surgical research Jun 15, 2023
INTRODUCTION: Weight gain among young adults continues to increase. Identifying adults at high risk for weight gain and intervening before they gain weight could have a major public health impact. Our objective was to develop and test electronic heal...
Weight Gain Male Obesity Young Adult Adult Humans Neural Networks, Computer Electronic Health Records Female Machine Learning
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Contextualized medication event extraction with striding NER and multi-turn QA.

Journal of biomedical informatics Jun 13, 2023
This paper describes contextualized medication event extraction for automatically identifying medication change events with their contexts from clinical notes. The striding named entity recognition (NER) model extracts medication name spans from an i...
Data Mining Medication Systems Humans Language Natural Language Processing Electronic Health Records
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Health system-scale language models are all-purpose prediction engines.

Nature Jun 7, 2023
Physicians make critical time-constrained decisions every day. Clinical predictive models can help physicians and administrators make decisions by forecasting clinical and operational events. Existing structured data-based clinical predictive models ...
Humans Physicians Length of Stay Hospital Mortality Area Under Curve Clinical Trials as Topic Patient Readmission Insurance Coverage Natural Language Processing Point-of-Care Systems Comorbidity Electronic Health Records Clinical Decision-Making
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Generalizability and portability of natural language processing system to extract individual social risk factors.

International journal of medical informatics Jun 5, 2023
OBJECTIVE: The objective of this study is to validate and report on portability and generalizability of a Natural Language Processing (NLP) method to extract individual social factors from clinical notes, which was originally developed at a different...
Humans Algorithms Health Facilities Electronic Health Records Natural Language Processing
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Graph-based clinical recommender: Predicting specialists procedure orders using graph representation learning.

Journal of biomedical informatics Jun 3, 2023
OBJECTIVE: To determine whether graph neural network based models of electronic health records can predict specialty consultation care needs for endocrinology and hematology more accurately than the standard of care checklists and other conventional ...
Humans Neural Networks, Computer Referral and Consultation Hematology Endocrinology Algorithms Electronic Health Records
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Constructing a disease database and using natural language processing to capture and standardize free text clinical information.

Scientific reports May 26, 2023
The ability to extract critical information about an infectious disease in a timely manner is critical for population health research. The lack of procedures for mining large amounts of health data is a major impediment. The goal of this research is ...
Pandemics Records COVID-19 Humans Electronic Health Records Natural Language Processing
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Patient Dietary Supplements Use: Do Results from Natural Language Processing of Clinical Notes Agree with Survey Data?

Medical sciences (Basel, Switzerland) May 23, 2023
There is widespread use of dietary supplements, some prescribed but many taken without a physician's guidance. There are many potential interactions between supplements and both over-the-counter and prescription medications in ways that are unknown t...
Self Report Humans Dietary Supplements Electronic Health Records Natural Language Processing
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Machine Learning of Physiologic Waveforms and Electronic Health Record Data: A Large Perioperative Data Set of High-Fidelity Physiologic Waveforms.

Critical care clinics May 18, 2023
Perioperative morbidity and mortality are significantly associated with both static and dynamic perioperative factors. The studies investigating static perioperative factors have been reported; however, there are a limited number of previous studies ...
Humans Electronic Health Records Machine Learning Clinical Relevance
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Machine learning functional impairment classification with electronic health record data.

Journal of the American Geriatrics Society May 17, 2023
BACKGROUND: Poor functional status is a key marker of morbidity, yet is not routinely captured in clinical encounters. We developed and evaluated the accuracy of a machine learning algorithm that leveraged electronic health record (EHR) data to provi...
Aged Male Comorbidity Female Hospitalization Humans Algorithms Machine Learning Electronic Health Records
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