AIMC Topic: Electronic Health Records

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A Review of Recent Work in Transfer Learning and Domain Adaptation for Natural Language Processing of Electronic Health Records.

Yearbook of medical informatics Sep 3, 2021
OBJECTIVES: We survey recent work in biomedical NLP on building more adaptable or generalizable models, with a focus on work dealing with electronic health record (EHR) texts, to better understand recent trends in this area and identify opportunities...
Datasets as Topic Electronic Health Records Machine Learning Language Natural Language Processing
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Uncertainty-Gated Stochastic Sequential Model for EHR Mortality Prediction.

IEEE transactions on neural networks and learning systems Aug 31, 2021
Electronic health records (EHRs) are characterized as nonstationary, heterogeneous, noisy, and sparse data; therefore, it is challenging to learn the regularities or patterns inherent within them. In particular, sparseness caused mostly by many missi...
Neural Networks, Computer Algorithms Electronic Health Records Humans Predictive Value of Tests Stochastic Processes Uncertainty Deep Learning Hospital Mortality Computational Biology
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Predicting mortality among patients with liver cirrhosis in electronic health records with machine learning.

PloS one Aug 31, 2021
OBJECTIVE: Liver cirrhosis is a leading cause of death and effects millions of people in the United States. Early mortality prediction among patients with cirrhosis might give healthcare providers more opportunity to effectively treat the condition. ...
Middle Aged Humans Cohort Studies Electronic Health Records Neural Networks, Computer Logistic Models Liver Cirrhosis Female Machine Learning Models, Theoretical Male Algorithms
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Modeling and prediction of pressure injury in hospitalized patients using artificial intelligence.

BMC medical informatics and decision making Aug 30, 2021
BACKGROUND: Hospital-acquired pressure injuries (PIs) induce significant patient suffering, inflate healthcare costs, and increase clinical co-morbidities. PIs are mostly due to bed-immobility, sensory impairment, bed positioning, and length of hospi...
Electronic Health Records Inpatients Pressure Ulcer Neural Networks, Computer Artificial Intelligence Machine Learning Humans
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Artificial Intelligence Algorithm with ICD Coding Technology Guided by the Embedded Electronic Medical Record System in Medical Record Information Management.

Journal of healthcare engineering Aug 30, 2021
The study aims to explore the application of international classification of diseases (ICD) coding technology and embedded electronic medical record (EMR) system. The study established an EMR information knowledge system and collected the data of pat...
International Classification of Diseases Information Management Algorithms Humans Technology Artificial Intelligence Electronic Health Records
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Machine learning identifies ICU outcome predictors in a multicenter COVID-19 cohort.

Critical care (London, England) Aug 17, 2021
BACKGROUND: Intensive Care Resources are heavily utilized during the COVID-19 pandemic. However, risk stratification and prediction of SARS-CoV-2 patient clinical outcomes upon ICU admission remain inadequate. This study aimed to develop a machine le...
Humans Machine Learning COVID-19 Male Middle Aged Cohort Studies Emergency Service, Hospital Critical Illness Female Outcome Assessment, Health Care Intensive Care Units Aged Germany Electronic Health Records Adult
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A mechatronics data collection, image processing, and deep learning platform for clinical posture analysis: a technical note.

Physical and engineering sciences in medicine Aug 16, 2021
Static and dynamic posture analysis was a critical clinical examination in physiotherapy and rehabilitation. It was a time-consuming task for clinicians, so a semi-automatic method can facilitate this process as well as provide well-documented medica...
Reproducibility of Results Deep Learning Image Processing, Computer-Assisted Humans Electronic Health Records Posture
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Artificial Inteligence-Based Decision for the Prediction of Cardioembolism in Patients with Chagas Disease and Ischemic Stroke.

Journal of stroke and cerebrovascular diseases : the official journal of National Stroke Association Aug 13, 2021
BACKGROUND: Chagas disease (CD) and ischemic stroke (IS) have a close, but poorly understood, association. There is paucity of evidence on the ideal secondary prophylaxis and etiological determination, with few cardioembolic patients being identified...
Ischemic Stroke Recurrence Embolic Stroke Brazil Age Factors Predictive Value of Tests Chagas Disease Female Risk Factors Aged Male Middle Aged Decision Support Techniques Risk Assessment Retrospective Studies Electronic Health Records Humans Artificial Intelligence
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Natural language processing for the assessment of cardiovascular disease comorbidities: The cardio-Canary comorbidity project.

Clinical cardiology Aug 4, 2021
OBJECTIVE: Accurate ascertainment of comorbidities is paramount in clinical research. While manual adjudication is labor-intensive and expensive, the adoption of electronic health records enables computational analysis of free-text documentation usin...
Comorbidity Natural Language Processing Algorithms Humans Electronic Health Records Cardiovascular Diseases
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Construction of Genealogical Knowledge Graphs From Obituaries: Multitask Neural Network Extraction System.

Journal of medical Internet research Aug 4, 2021
BACKGROUND: Genealogical information, such as that found in family trees, is imperative for biomedical research such as disease heritability and risk prediction. Researchers have used policyholder and their dependent information in medical claims dat...
Pattern Recognition, Automated Knowledge Humans Neural Networks, Computer Electronic Health Records Information Storage and Retrieval
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