AIMC Topic: Electronic Health Records
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Classifying Unstructured Text in Electronic Health Records for Mental Health Prediction Models: Large Language Model Evaluation Study.
JMIR medical informatics
Jan 21, 2025
BACKGROUND: Prediction models have demonstrated a range of applications across medicine, including using electronic health record (EHR) data to identify hospital readmission and mortality risk. Large language models (LLMs) can transform unstructured ...
Developing a rapid screening tool for high-risk ICU patients of sepsis: integrating electronic medical records with machine learning methods for mortality prediction in hospitalized patients-model establishment, internal and external validation, and visualization.
Journal of translational medicine
Jan 21, 2025
OBJECTIVES: To develop a machine learning-based prediction model using clinical data from the first 24 h of ICU admission to enable rapid screening and early intervention for sepsis patients.
Piloting an automated query and scoring system to facilitate APDS patient identification from health systems.
Frontiers in immunology
Jan 21, 2025
INTRODUCTION: Patients with activated PI3Kδ syndrome (APDS) may elude diagnoses for nearly a decade. Methods to hasten the identification of these patients, and other patients with inborn errors of immunity (IEIs), are needed. We sought to demonstrat...
Large language models for data extraction from unstructured and semi-structured electronic health records: a multiple model performance evaluation.
BMJ health & care informatics
Jan 19, 2025
OBJECTIVES: We aimed to evaluate the performance of multiple large language models (LLMs) in data extraction from unstructured and semi-structured electronic health records.
Digital Health and Genomics.
The Nursing clinics of North America
Jan 18, 2025
Digital health technologies have a crucial role in streamlining the use of genomics and facilitating access to genomic health care. There are efforts to integrate genomic information into electronic health records and use artificial intelligence to a...
Identification of an ANCA-associated vasculitis cohort using deep learning and electronic health records.
International journal of medical informatics
Jan 17, 2025
BACKGROUND: ANCA-associated vasculitis (AAV) is a rare but serious disease. Traditional case-identification methods using claims data can be time-intensive and may miss important subgroups. We hypothesized that a deep learning model analyzing electro...
Artificial intelligence-based biomarkers for treatment decisions in oncology.
Trends in cancer
Jan 14, 2025
The development of new therapeutic strategies such as immune checkpoint inhibitors (ICIs) and targeted therapies has increased the complexity of the treatment landscape for solid tumors. At the current rate of annual FDA approvals, the potential trea...
Natural language processing to identify suicidal ideation and anhedonia in major depressive disorder.
BMC medical informatics and decision making
Jan 13, 2025
BACKGROUND: Anhedonia and suicidal ideation are symptoms of major depressive disorder (MDD) that are not regularly captured in structured scales but may be captured in unstructured clinical notes. Natural language processing (NLP) techniques may be u...
Leveraging Natural Language Processing and Machine Learning Methods for Adverse Drug Event Detection in Electronic Health/Medical Records: A Scoping Review.
Drug safety
Jan 9, 2025
BACKGROUND: Natural language processing (NLP) and machine learning (ML) techniques may help harness unstructured free-text electronic health record (EHR) data to detect adverse drug events (ADEs) and thus improve pharmacovigilance. However, evidence ...
Multimodal deep learning for predicting in-hospital mortality in heart failure patients using longitudinal chest X-rays and electronic health records.
The international journal of cardiovascular imaging
Jan 9, 2025
Amid an aging global population, heart failure has become a leading cause of hospitalization among older people. Its high prevalence and mortality rates underscore the importance of accurate mortality prediction for swift disease progression assessme...
Humans
Decision Support Techniques
Reproducibility of Results
Risk Factors
Aged
Prognosis
Electronic Health Records
Female
Hospital Mortality
Predictive Value of Tests
Feasibility Studies
Heart Failure
Radiography, Thoracic
Risk Assessment
Aged, 80 and over
Male
Deep Learning
Middle Aged
Time Factors
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