AIMC Topic: Electronic Health Records

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Early identification of patients admitted to hospital for covid-19 at risk of clinical deterioration: model development and multisite external validation study.

BMJ (Clinical research ed.) Feb 17, 2022
OBJECTIVE: To create and validate a simple and transferable machine learning model from electronic health record data to accurately predict clinical deterioration in patients with covid-19 across institutions, through use of a novel paradigm for mode...
Aged, 80 and over Young Adult Adult Hospitalization Aged Hospitals Adolescent ROC Curve Male Middle Aged Risk Assessment Prognosis Retrospective Studies Electronic Health Records Female SARS-CoV-2 Humans Machine Learning COVID-19 Linear Models Clinical Deterioration Clinical Decision Rules Predictive Value of Tests Area Under Curve
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Mixed-methods evaluation of three natural language processing modeling approaches for measuring documented goals-of-care discussions in the electronic health record.

Journal of pain and symptom management Feb 16, 2022
CONTEXT: Documented goals-of-care discussions are an important quality metric for patients with serious illness. Natural language processing (NLP) is a promising approach for identifying goals-of-care discussions in the electronic health record (EHR)...
Electronic Health Records Cohort Studies Natural Language Processing Goals Humans Prospective Studies
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Structure-aware siamese graph neural networks for encounter-level patient similarity learning.

Journal of biomedical informatics Feb 16, 2022
Patient similarity learning has attracted great research interest in biomedical informatics. Correctly identifying the similarity between a given patient and patient records in the database could contribute to clinical references for diagnosis and me...
Databases, Factual Electronic Health Records Humans Neural Networks, Computer
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Can natural language processing models extract and classify instances of interpersonal violence in mental healthcare electronic records: an applied evaluative study.

BMJ open Feb 16, 2022
OBJECTIVE: This paper evaluates the application of a natural language processing (NLP) model for extracting clinical text referring to interpersonal violence using electronic health records (EHRs) from a large mental healthcare provider.
Violence Humans Electronic Health Records Plant Extracts Mental Health Services Natural Language Processing Electronics
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Deep learning model for multi-classification of infectious diseases from unstructured electronic medical records.

BMC medical informatics and decision making Feb 16, 2022
PURPOSE: Predictively diagnosing infectious diseases helps in providing better treatment and enhances the prevention and control of such diseases. This study uses actual data from a hospital. A multiple infectious disease diagnostic model (MIDDM) is ...
Neural Networks, Computer Communicable Diseases Electronic Health Records Humans Deep Learning Bayes Theorem
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Assessment of medical management in Coronary Type 2 Diabetic patients with previous percutaneous coronary intervention in Spain: A retrospective analysis of electronic health records using Natural Language Processing.

PloS one Feb 10, 2022
INTRODUCTION AND OBJECTIVES: Patients with type 2 diabetes (T2D) and stable coronary artery disease (CAD) previously revascularized with percutaneous coronary intervention (PCI) are at high risk of recurrent ischemic events. We aimed to provide real-...
Myocardial Infarction Spain Percutaneous Coronary Intervention Coronary Artery Disease Aged, 80 and over Electronic Health Records Male Humans Female Middle Aged Retrospective Studies Aged Diabetes Mellitus, Type 2 Natural Language Processing
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Fusion of sequential visits and medical ontology for mortality prediction.

Journal of biomedical informatics Feb 7, 2022
The goal of mortality prediction task is to predict the future death risk of patients according to their previous Electronic Healthcare Records (EHR). The main challenge of mortality prediction is how to design an accurate and robust predictive model...
Neural Networks, Computer Forecasting Electronic Health Records Humans
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Natural language processing for automated surveillance of intraoperative neuromonitoring in spine surgery.

Journal of clinical neuroscience : official journal of the Neurosurgical Society of Australasia Jan 28, 2022
We sought to develop natural language processing (NLP) methods for automated detection and characterization of neuromonitoring documentation from free-text operative reports in patients undergoing spine surgery. We included 13,718 patients who receiv...
Humans Electronic Health Records Quality Improvement Natural Language Processing Neurosurgical Procedures Research Report
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Identifying Information Gaps in Electronic Health Records by Using Natural Language Processing: Gynecologic Surgery History Identification.

Journal of medical Internet research Jan 28, 2022
BACKGROUND: Electronic health records (EHRs) are a rich source of longitudinal patient data. However, missing information due to clinical care that predated the implementation of EHR system(s) or care that occurred at different medical institutions i...
Gynecologic Surgical Procedures Female Cohort Studies Natural Language Processing Humans Algorithms Electronic Health Records
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Development and validation of a machine learning algorithm-based risk prediction model of pressure injury in the intensive care unit.

International wound journal Jan 25, 2022
The study aimed to establish a machine learning-based scoring nomogram for early recognition of likely pressure injuries in an intensive care unit (ICU) using large-scale clinical data. A retrospective cohort study design was employed to develop and ...
Humans Machine Learning Algorithms Retrospective Studies Pressure Ulcer Intensive Care Units Electronic Health Records
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