AIMC Topic: Electronic Health Records

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Expert-augmented machine learning for predicting extubation readiness in the pediatric intensive care unit.

BMC medical informatics and decision making Jul 1, 2025
BACKGROUND: Determining extubation readiness in pediatric intensive care units (PICU) is challenging. We used expert-augmented machine learning (EAML), a method that combines machine learning with human expert knowledge, to predict successful extubat...
Child, Preschool Humans Airway Extubation Child Machine Learning Female Intensive Care Units, Pediatric Electronic Health Records Male Infant
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Profiling short-term longitudinal severity progression and associated genes in COVID-19 patients using EHR and single-cell analysis.

Scientific reports Jul 1, 2025
Here we propose CovSF, a deep learning model designed to track and forecast short-term severity progression of COVID-19 patients using longitudinal clinical records. The motivation stems from the need for timely medical resource allocation, improved ...
Single-Cell Analysis Longitudinal Studies Electronic Health Records Severity of Illness Index Female Transcriptome SARS-CoV-2 Deep Learning Aged Male Middle Aged Humans Disease Progression COVID-19
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Deep learning for occupation recognition and knowledge discovery in rheumatology clinical notes.

Scientific reports Jul 1, 2025
Occupational data is a crucial social determinant of health, influencing diagnostic accuracy, treatment strategies, and policy-making in healthcare. However, its inclusion in electronic health records (EHR) is often relegated to unstructured fields. ...
Humans Electronic Health Records Female Adult Rheumatic Diseases Male Rheumatology Middle Aged Occupations Deep Learning
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GenAI exceeds clinical experts in predicting acute kidney injury following paediatric cardiopulmonary bypass.

Scientific reports Jul 1, 2025
The emergence of large language models (LLMs) opens new horizons to leverage, often unused, information in clinical text. Our study aims to capitalise on this new potential. Specifically, we examine the utility of text embeddings generated by LLMs in...
Cardiopulmonary Bypass Infant Child, Preschool Child Humans Algorithms Acute Kidney Injury Male Postoperative Complications Electronic Health Records Female
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A textual dataset of de-identified health records in Spanish and Catalan for medical entity recognition and anonymization.

Scientific data Jul 1, 2025
The advancement of clinical natural language processing systems is crucial to exploit the wealth of textual data contained in medical records. Diverse data sources are required in different languages and from different sites to represent global healt...
Electronic Health Records SARS-CoV-2 Natural Language Processing Data Anonymization Spain Medical Records Humans COVID-19
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Predictive model of ulcerative colitis syndrome with ensemble learning and interpretability methods.

Scientific reports Jul 1, 2025
In recent years, the prevalence of chronic diseases such as Ulcerative Colitis (UC) has increased, bringing a heavy burden to healthcare systems. Traditional Chinese Medicine (TCM) stands out for its cost-effective and efficient treatment modalities,...
Electronic Health Records Female Male Humans Machine Learning Prognosis Ensemble Learning Deep Learning Medicine, Chinese Traditional Colitis, Ulcerative
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A machine learning model using clinical notes to identify physician fatigue.

Nature communications Jul 1, 2025
Clinical notes should capture important information from a physician-patient encounter, but they may also contain signals indicative of physician fatigue. Using data from 129,228 emergency department (ED) visits, we train a model to identify notes wr...
Humans Machine Learning Physicians Emergency Service, Hospital Workload Fatigue Electronic Health Records Female Male
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Harnessing AI for Improved Diagnosis and Management of Pediatric Sepsis: Current Advances, Challenges, and Future Directions.

Pediatric emergency care Jul 1, 2025
Artificial intelligence (AI) has been applied to early recognition and management of rapidly progressive, community-acquired pediatric sepsis, a leading cause of childhood mortality. The broad adoption of electronic health records combined with rapid...
Machine Learning Electronic Health Records Sepsis Child Humans Artificial Intelligence
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Usability of machine learning algorithms based on electronic health records for the prediction of acute kidney injury and transition to acute kidney disease: A proof of concept study.

PloS one Jul 1, 2025
BACKGROUND: Acute kidney injury (AKI) and acute kidney disease (AKD) are frequent complications of hospitalization, resulting in reduced outcomes and increased cost burden. However, these conditions are only sometimes recognized and promptly treated....
Adult Male Middle Aged Female Hospitalization Aged Humans Proof of Concept Study Machine Learning Retrospective Studies Algorithms Acute Kidney Injury Electronic Health Records
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Pursuit of Digital Innovation in Psychiatric Data Handling Practices in Ireland: Comprehensive Case Study.

JMIR human factors Jun 24, 2025
BACKGROUND: Ireland is ranked among the most disadvantageous European countries in terms of mental health challenges. Contrary to general health services that primarily focus on diagnosis and treatment, the mental health sector in Ireland deals with ...
Confidentiality Computer Security Ireland Surveys and Questionnaires Humans Data Management Psychiatry Mental Health Services Electronic Health Records
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