Journal of the American Medical Informatics Association : JAMIA
Sep 1, 2024
OBJECTIVES: This comparative analysis aims to assess the efficacy of encoder Language Models for clinical tasks in the Spanish language. The primary goal is to identify the most effective resources within this context.
Journal of the American Medical Informatics Association : JAMIA
Sep 1, 2024
OBJECTIVE: The use of electronic health records (EHRs) for clinical risk prediction is on the rise. However, in many practical settings, the limited availability of task-specific EHR data can restrict the application of standard machine learning pipe...
Journal of the American Medical Informatics Association : JAMIA
Sep 1, 2024
IMPORTANCE: The study highlights the potential of large language models, specifically GPT-3.5 and GPT-4, in processing complex clinical data and extracting meaningful information with minimal training data. By developing and refining prompt-based str...
Studies in health technology and informatics
Aug 30, 2024
INTRODUCTION: Retrieving comprehensible rule-based knowledge from medical data by machine learning is a beneficial task, e.g., for automating the process of creating a decision support system. While this has recently been studied by means of exceptio...
Studies in health technology and informatics
Aug 30, 2024
INTRODUCTION: Constructing search queries that deal with complex concepts is a challenging task without proficiency in the underlying query language - which holds true for either structured or unstructured data. Medical data might encompass both type...
Studies in health technology and informatics
Aug 22, 2024
Clinical decision support systems for Nursing Process (NP-CDSSs) help resolve a critical challenge in nursing decision-making through automating the Nursing Process. NP-CDSSs are more effective when they are linked to Electronic Medical Record (EMR) ...
Studies in health technology and informatics
Aug 22, 2024
Coding according to the International Classification of Diseases (ICD)-10 and its clinical modifications (CM) is inherently complex and expensive. Natural Language Processing (NLP) assists by simplifying the analysis of unstructured data from electro...
Studies in health technology and informatics
Aug 22, 2024
The advent of artificial intelligence has positively transformed many areas of our lives, including the medical field. In this article, we propose the development of a medical diagnosis chatbot based on patients' symptoms, using artificial intelligen...
Studies in health technology and informatics
Aug 22, 2024
In the field of medical data analysis, converting unstructured text documents into a structured format suitable for further use is a significant challenge. This study introduces an automated local deployed data privacy secure pipeline that uses open-...
Studies in health technology and informatics
Aug 22, 2024
Electronic Health Records (EHRs) contain a wealth of unstructured patient data, making it challenging for physicians to do informed decisions. In this paper, we introduce a Natural Language Processing (NLP) approach for the extraction of therapies, d...
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