AIMC Topic: Electronic Health Records
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Machine learning to predict adverse drug events based on electronic health records: a systematic review and meta-analysis.
The Journal of international medical research
Dec 1, 2024
OBJECTIVE: This systematic review aimed to provide a comprehensive overview of the application of machine learning (ML) in predicting multiple adverse drug events (ADEs) using electronic health record (EHR) data.
Artificial intelligence-aided data mining of medical records for cancer detection and screening.
The Lancet. Oncology
Dec 1, 2024
The application of artificial intelligence methods to electronic patient records paves the way for large-scale analysis of multimodal data. Such population-wide data describing deep phenotypes composed of thousands of features are now being leveraged...
Detection of suicidality from medical text using privacy-preserving large language models.
The British journal of psychiatry : the journal of mental science
Dec 1, 2024
BACKGROUND: Attempts to use artificial intelligence (AI) in psychiatric disorders show moderate success, highlighting the potential of incorporating information from clinical assessments to improve the models. This study focuses on using large langua...
Fair prediction of 2-year stroke risk in patients with atrial fibrillation.
Journal of the American Medical Informatics Association : JAMIA
Dec 1, 2024
OBJECTIVE: This study aims to develop machine learning models that provide both accurate and equitable predictions of 2-year stroke risk for patients with atrial fibrillation across diverse racial groups.
Handwritten Data Extraction Using OpenAI ChatGPT4o and Robotic Process Automation.
Studies in health technology and informatics
Nov 22, 2024
This paper proposes to create an Robotic Process Automation style application that can digitalize and extract data from handwritten medical forms. The RPA robot uses OpenAI ChatGPT4o model to extract handwritten medical data and transform it into typ...
Generating Synthetic Healthcare Dialogues in Emergency Medicine Using Large Language Models.
Studies in health technology and informatics
Nov 22, 2024
Natural Language Processing (NLP) has shown promise in fields like radiology for converting unstructured into structured data, but acquiring suitable datasets poses several challenges, including privacy concerns. Specifically, we aim to utilize Large...
Enhancing Arden-Syntax-Based Clinical Reasoning with Ontologies.
Studies in health technology and informatics
Nov 22, 2024
We present a new methodological approach based on integrating Arden-Syntax-based clinical decision support (CDS) with an upstream ontology service. Incoming linguistic patient data, such as single reports about detected germs or viruses, shall be ide...
FHIR-Based Arden Syntax Compiler for Clinical Decision Support.
Studies in health technology and informatics
Nov 22, 2024
The Arden Syntax is a language designed for the encoding of medical knowledge into clinical decision support systems. Its evolution is overseen by Health Level 7. A significant enhancement in its new version 3.0 is the incorporation of FHIR for data ...
Utilizing RAG and GPT-4 for Extraction of Substance Use Information from Clinical Notes.
Studies in health technology and informatics
Nov 22, 2024
This research investigates the application of a hybrid Retrieval-Augmented Generation (RAG) and Generative Pre-trained Transformer (GPT) pipeline for extracting and categorizing substance use information from unstructured clinical notes. The aim is t...
Applications of Machine Learning on Electronic Health Record Data to Combat Antibiotic Resistance.
The Journal of infectious diseases
Nov 15, 2024
There is growing excitement about the clinical use of artificial intelligence and machine learning (ML) technologies. Advancements in computing and the accessibility of ML frameworks enable researchers to easily train predictive models using electron...
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