AIMC Topic: Electronic Health Records

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AdaDiag: Adversarial Domain Adaptation of Diagnostic Prediction with Clinical Event Sequences.

Journal of biomedical informatics Aug 17, 2022
Early detection of heart failure (HF) can provide patients with the opportunity for more timely intervention and better disease management, as well as efficient use of healthcare resources. Recent machine learning (ML) methods have shown promising pe...
Electronic Health Records Language Heart Failure Information Storage and Retrieval Neural Networks, Computer Machine Learning Humans
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Discovering monogenic patients with a confirmed molecular diagnosis in millions of clinical notes with MonoMiner.

Genetics in medicine : official journal of the American College of Medical Genetics Aug 17, 2022
PURPOSE: Cohort building is a powerful foundation for improving clinical care, performing biomedical research, recruiting for clinical trials, and many other applications. We set out to build a cohort of all monogenic patients with a definitive causa...
Cohort Studies Natural Language Processing Humans Electronic Health Records
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Prediction and evaluation of combination pharmacotherapy using natural language processing, machine learning and patient electronic health records.

Journal of biomedical informatics Aug 17, 2022
Combination pharmacotherapy targets key disease pathways in a synergistic or additive manner and has high potential in treating complex diseases. Computational methods have been developed to identifying combination pharmacotherapy by analyzing large ...
Phenotype Electronic Health Records Humans Machine Learning Natural Language Processing Digoxin Hypertension Drug Combinations Hydrochlorothiazide
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PK-RNN-V E: A deep learning model approach to vancomycin therapeutic drug monitoring using electronic health record data.

Journal of biomedical informatics Aug 17, 2022
Vancomycin is a commonly used antimicrobial in hospitals, and therapeutic drug monitoring (TDM) is required to optimize its efficacy and avoid toxicities. Bayesian models are currently recommended to predict the antibiotic levels. These models, howev...
Deep Learning Humans Drug Monitoring Bayes Theorem Electronic Health Records Vancomycin
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New Frontiers of Natural Language Processing in Surgery.

The American surgeon Aug 15, 2022
The vast and ever-growing volume of electronic health records (EHR) have generated a wealth of information-rich data. Traditional, non-machine learning data extraction techniques are error-prone and laborious, hindering the analytical potential of th...
Electronic Health Records Natural Language Processing Humans Algorithms
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Machine learning for risk stratification in kidney disease.

Current opinion in nephrology and hypertension Aug 10, 2022
PURPOSE OF REVIEW: Risk stratification for chronic kidney is becoming increasingly important as a clinical tool for both treatment and prevention measures. The goal of this review is to identify how machine learning tools contribute and facilitate ri...
Biomarkers Electronic Health Records Risk Assessment Renal Insufficiency, Chronic Humans Machine Learning
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What concerns the general public the most about monkeypox virus? - A text analytics study based on Natural Language Processing (NLP).

Travel medicine and infectious disease Jul 31, 2022
Natural Language Processing Algorithms Humans Monkeypox virus Mpox, Monkeypox Electronic Health Records
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A multi-layer soft lattice based model for Chinese clinical named entity recognition.

BMC medical informatics and decision making Jul 30, 2022
OBJECTIVE: Named entity recognition (NER) is a key and fundamental part of many medical and clinical tasks, including the establishment of a medical knowledge graph, decision-making support, and question answering systems. When extracting entities fr...
Natural Language Processing Electronic Health Records Humans China
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Natural Language Processing to Improve Prediction of Incident Atrial Fibrillation Using Electronic Health Records.

Journal of the American Heart Association Jul 29, 2022
Background Models predicting atrial fibrillation (AF) risk, such as Cohorts for Heart and Aging Research in Genomic Epidemiology AF (CHARGE-AF), have not performed as well in electronic health records. Natural language processing (NLP) may improve mo...
Atrial Fibrillation Humans Natural Language Processing Incidence Electronic Health Records Cohort Studies Risk Assessment
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Language-agnostic pharmacovigilant text mining to elicit side effects from clinical notes and hospital medication records.

Basic & clinical pharmacology & toxicology Jul 26, 2022
We sought to craft a drug safety signalling pipeline associating latent information in clinical free text with exposures to single drugs and drug pairs. Data arose from 12 secondary and tertiary public hospitals in two Danish regions, comprising appr...
Electronic Health Records Language Hospitals Natural Language Processing Humans Drug-Related Side Effects and Adverse Reactions Data Mining
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