AIMC Topic: Electronic Health Records

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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 Humans Acute Kidney Injury Electronic Health Records Deep Learning
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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...
Humans Machine Learning Intensive Care Units Critical Care Databases, Factual Electronic Health Records Oximetry Oxygen Hypoxia
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Enhancing Clinical Data Extraction from Pathology Reports: A Comparative Analysis of Large Language Models.

Studies in health technology and informatics Aug 22, 2024
This study evaluates the efficacy of a small large language model (sLLM) in extracting critical information from free-text pathology reports across multiple centers, addressing the challenges posed by the narrative and complex nature of these documen...
Data Mining Information Storage and Retrieval Electronic Health Records Natural Language Processing Humans Machine Learning
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Unlocking the Potential of Free Text in Electronic Health Records with Large Language Models (LLM): Enhancing Patient Safety and Consultation Interactions.

Studies in health technology and informatics Aug 22, 2024
Computer-mediated clinical consultation, involving clinicians, electronic health record (EHR) systems, and patients, yield rich narrative data. Despite advancements in Natural Language Processing (NLP), these narratives remain underutilised. Free tex...
Humans Referral and Consultation Patient Safety Electronic Health Records Natural Language Processing
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Exploring Prediabetes Pathways Using Explainable AI on Data from Electronic Medical Records.

Studies in health technology and informatics Aug 22, 2024
This study leverages data from a Canadian database of primary care Electronic Medical Records to develop machine learning models predicting type 2 diabetes mellitus (T2D), prediabetes, or normoglycemia. These models are used as a basis for extracting...
Canada Prediabetic State Machine Learning Humans Biomarkers Electronic Health Records Diabetes Mellitus, Type 2
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Synthetic Generation of Patient Service Utilization Data: A Scalability Study.

Studies in health technology and informatics Aug 22, 2024
To address privacy and ethical issues in using health data for machine learning, we evaluate the scalability of advanced synthetic data generation methods like GANs, VAEs, copulaGAN, and transformer models specifically for patient service utilization...
Electronic Health Records Canada Models, Statistical Humans Machine Learning
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Term Candidate Generation to Enrich Clinical Terminologies with Large Language Models.

Studies in health technology and informatics Aug 22, 2024
Annotated language resources derived from clinical routine documentation form an intriguing asset for secondary use case scenarios. In this investigation, we report on how such a resource can be leveraged to identify additional term candidates for a ...
Germany Terminology as Topic Electronic Health Records Natural Language Processing International Classification of Diseases Vocabulary, Controlled Humans
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Performance of a NLP Tool for Text Classification from Orthopaedic Operative Reports, Using Data from the Large Network of Clinical Data Warehouses of the West of France: The HACRO-HUGORTHO Project.

Studies in health technology and informatics Aug 22, 2024
Electronic health data concerning implantable medical devices (IMD) opens opportunities for dynamic real-world monitoring to assess associated risks related to implanted materials. Due to population ageing and expanding demands, total hip, knee, and ...
Humans Machine Learning France Orthopedic Procedures Electronic Health Records Natural Language Processing
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Leveraging Rule-Based NLP to Translate Textual Reports as Structured Inputs Automatically Processed by a Clinical Decision Support System.

Studies in health technology and informatics Aug 22, 2024
Using clinical decision support systems (CDSSs) for breast cancer management necessitates to extract relevant patient data from textual reports which is a complex task although efficiently achieved by machine learning but black box methods. We propos...
Natural Language Processing Data Mining Breast Neoplasms Decision Support Systems, Clinical Humans Machine Learning Electronic Health Records Female
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SemOntoMap: A Hybrid Approach for Semantic Annotation of Clinical Texts.

Studies in health technology and informatics Aug 22, 2024
This study addresses the challenge of leveraging free-text descriptions in Electronic Health Records (EHR) for clinical research and healthcare improvement. Despite the potential of this data, its direct interpretation by computers is limited. Semant...
Unsupervised Machine Learning Natural Language Processing Semantics Humans Electronic Health Records
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