AIMC Topic: Electronic Health Records

Clear Filters Showing 21 to 30 of 2549 articles

Language Models for Multilabel Document Classification of Surgical Concepts in Exploratory Laparotomy Operative Notes: Algorithm Development Study.

JMIR medical informatics Jul 9, 2025
BACKGROUND: Operative notes are frequently mined for surgical concepts in clinical care, research, quality improvement, and billing, often requiring hours of manual extraction. These notes are typically analyzed at the document level to determine the...
Natural Language Processing Laparotomy Humans Algorithms Electronic Health Records
View on PubMed DOI

Unsupervised learning using EHR and census data to identify distinct subphenotypes of newly diagnosed hypertension patients.

PloS one Jul 9, 2025
BACKGROUND: Hypertension (HTN) is a complex condition with significant heterogeneity in presentation and treatment response. Identifying distinct subphenotypes of HTN may improve our understanding of its underlying mechanisms and guide more precise t...
Humans Aged Adult Male Phenotype Electronic Health Records Female Medicaid Censuses Hypertension Body Mass Index Unsupervised Machine Learning Middle Aged Diabetes Mellitus, Type 2 United States
View on PubMed DOI

Assessing the Accuracy of ChatGPT in Appropriately Triaging Common Postoperative Concerns Regarding Mohs Micrographic Surgery.

JMIR dermatology Jul 8, 2025
Artificial intelligence (AI) is increasingly integrated into health care, offering potential benefits in patient education, triage, and administrative efficiency. This study evaluates AI-driven dialogue interfaces within an electronic health record a...
Triage Patient Portals Mohs Surgery Postoperative Complications Generative Artificial Intelligence Postoperative Care Humans Artificial Intelligence Electronic Health Records Skin Neoplasms
View on PubMed DOI

Toward Cross-Hospital Deployment of Natural Language Processing Systems: Model Development and Validation of Fine-Tuned Large Language Models for Disease Name Recognition in Japanese.

JMIR medical informatics Jul 8, 2025
BACKGROUND: Disease name recognition is a fundamental task in clinical natural language processing, enabling the extraction of critical patient information from electronic health records. While recent advances in large language models (LLMs) have sho...
Electronic Health Records Natural Language Processing Large Language Models Language Japan Humans East Asian People Disease
View on PubMed DOI

Development and Validation of a Rule-Based Natural Language Processing Algorithm to Identify Falls in Inpatient Records of Older Adults: Retrospective Analysis.

JMIR aging Jul 8, 2025
BACKGROUND: In order to address fall underestimation by the International Classification of Diseases (ICD) in clinical settings, information from clinical notes could be incorporated via natural language processing (NLP) as a possible solution. Howev...
Male Accidental Falls Inpatients Natural Language Processing Hong Kong International Classification of Diseases Hospitalization Aged Aged, 80 and over Retrospective Studies Electronic Health Records Female Humans Algorithms
View on PubMed DOI

Leveraging heterogeneous tabular of EHRs with prompt learning for clinical prediction.

Journal of biomedical informatics Jul 4, 2025
Electronic Health Records (EHRs) depict patient-related information and have significantly contributed to advancements in healthcare fields. The abundance of EHR data provides exceptional opportunities for developing clinical predictive models. Howev...
Electronic Health Records Aged Natural Language Processing Medical Informatics Humans Machine Learning Algorithms
View on PubMed DOI

Keyword-optimized template insertion for clinical note classification via prompt-based learning.

BMC medical informatics and decision making Jul 3, 2025
BACKGROUND: Prompt-based learning involves the additions of prompts (i.e., templates) to the input of pre-trained large language models (PLMs) to adapt them to specific tasks with minimal training. This technique is particularly advantageous in clini...
Humans Machine Learning Electronic Health Records Natural Language Processing
View on PubMed DOI

Development of an electronic health record-based Human Immunodeficiency Virus (HIV) risk prediction model for women, incorporating social determinants of health.

BMC public health Jul 2, 2025
BACKGROUND: Human Immunodeficiency Virus (HIV) pre-exposure prophylaxis (PrEP) prevents HIV transmission but has low uptake among women. Identifying women who could benefit from PrEP remains a challenge. This study developed a women-specific model to...
Pre-Exposure Prophylaxis Machine Learning Southeastern United States Electronic Health Records Female Humans Adult Middle Aged Risk Assessment Case-Control Studies HIV Infections Social Determinants of Health
View on PubMed DOI

False-positive tolerant model misconduct mitigation in distributed federated learning on electronic health record data across clinical institutions.

Scientific reports Jul 2, 2025
As collaborative Machine Learning on cross-institutional, fully distributed networks become an important tool in predictive health modeling, its inherent security risks must be addressed. One among such risks is the lack of a mitigation strategy agai...
ROC Curve False Positive Reactions Computer Security Federated Learning Machine Learning Algorithms Electronic Health Records Humans
View on PubMed DOI

Using graph machine learning to identify functioning in patients with low back pain in terms of ICF.

Scientific reports Jul 2, 2025
As a comprehensive perspective on functioning is useful in patient assessments, the WHO developed the International Classification of Functioning, Disability, and Health (ICF) to provide a standardized terminology and framework for describing and cla...
Adult Finland Female Male International Classification of Functioning, Disability and Health Humans Adolescent Aged Middle Aged Machine Learning Disability Evaluation Young Adult Electronic Health Records Low Back Pain
View on PubMed DOI
Popular Topics
Recent Journals