AIMC Journal:
Studies in health technology and informatics

Showing 211 to 220 of 1224 articles

From EHR to Machine Learning: A Preliminary Report on an Ingestion Pipeline Based on JSON-LD.

Studies in health technology and informatics Aug 22, 2024
In this paper, we present the preliminary experiments for the development of an ingestion mechanism to move data from Electronic Health Records to machine learning processes, based on the concept of Linked Data and the JSON-LD format.
Medical Record Linkage Machine Learning Electronic Health Records Humans
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How Trueness of Clinical Decision Support Systems Based on Machine Learning Is Assessed?

Studies in health technology and informatics Aug 22, 2024
The application of machine learning algorithms in clinical decision support systems (CDSS) holds great promise for advancing patient care, yet practical implementation faces significant evaluation challenges. Through a scoping review, we investigate ...
Decision Support Systems, Clinical Machine Learning Humans
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An Overview of Explainable AI Studies in the Prediction of Sepsis Onset and Sepsis Mortality.

Studies in health technology and informatics Aug 22, 2024
Explainable artificial intelligence (AI) focuses on developing models and algorithms that provide transparent and interpretable insights into decision-making processes. By elucidating the reasoning behind AI-driven diagnoses and treatment recommendat...
Humans Artificial Intelligence Sepsis Diagnosis, Computer-Assisted Algorithms
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Causal Deep Learning for the Detection of Adverse Drug Reactions: Drug-Induced Acute Kidney Injury as a Case Study.

Studies in health technology and informatics Aug 22, 2024
Causal Deep/Machine Learning (CDL/CML) is an emerging Artificial Intelligence (AI) paradigm. The combination of causal inference and AI could mine explainable causal relationships between data features, providing useful insights for various applicati...
Drug-Related Side Effects and Adverse Reactions Adverse Drug Reaction Reporting Systems Pharmacovigilance Electronic Health Records Deep Learning Acute Kidney Injury Humans
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A Conformal Prediction Approach to Enhance Predictive Accuracy and Confidence in Machine Learning Application in Chronic Diseases.

Studies in health technology and informatics Aug 22, 2024
Heterogeneity in chronic malignancies raises an increasing interest for the integration and study of predictive models. This study presents a machine learning model approach to predict outcomes and improve their trustworthiness in multi-factorial dis...
Chronic Disease Machine Learning Leukemia, Lymphocytic, Chronic, B-Cell Humans
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Comparison of Regression Methods to Predict the First Spike Latency in Response to an External Stimulus in Intracellular Recordings for Cerebellar Cells.

Studies in health technology and informatics Aug 22, 2024
The significance of intracellular recording in neurophysiology is emphasized in this article, with considering the functions of neurons, particularly the role of first spike latency in response to external stimuli. The study employs advanced machine ...
Cerebellum Regression Analysis Neurons Action Potentials Machine Learning Models, Neurological Animals
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A Comparative Analysis of Federated and Centralized Learning for SpO2 Prediction in Five Critical Care Databases.

Studies in health technology and informatics Aug 22, 2024
This study explores the potential of federated learning (FL) to develop a predictive model of hypoxemia in intensive care unit (ICU) patients. Centralized learning (CL) and local learning (LL) approaches have been limited by the localized nature of d...
Intensive Care Units Electronic Health Records Databases, Factual Critical Care Oximetry Hypoxia Oxygen Machine Learning Humans
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Comparing a Large Language Model with Previous Deep Learning Models on Named Entity Recognition of Adverse Drug Events.

Studies in health technology and informatics Aug 22, 2024
The ability to fine-tune pre-trained deep learning models to learn how to process a downstream task using a large training set allow to significantly improve performances of named entity recognition. Large language models are recent models based on t...
Drug-Related Side Effects and Adverse Reactions Adverse Drug Reaction Reporting Systems Deep Learning Natural Language Processing Humans
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A Governance Framework for the Implementation and Operation of AI Applications in a University Hospital.

Studies in health technology and informatics Aug 22, 2024
BACKGROUND: Artificial intelligence (AI) is becoming increasingly important in everyday life and medical care with a notable gap between AI development in medicine there and its practical implementation in university hospitals.
Hospitals, University Artificial Intelligence Humans
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Merging Biomedical Ontologies with BioSTransformers.

Studies in health technology and informatics Aug 22, 2024
Ontologies play a key role in representing and structuring domain knowledge. In the biomedical domain, the need for this type of representation is crucial for structuring, coding, and retrieving data. However, available ontologies do not encompass al...
Humans Biological Ontologies Unified Medical Language System Semantics Neural Networks, Computer
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