AIMC Topic: Electronic Health Records
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Harnessing the Power of Machine Learning and Electronic Health Records to Support Child Abuse and Neglect Identification in Emergency Department Settings.
Studies in health technology and informatics
Aug 22, 2024
Emergency departments (EDs) are pivotal in detecting child abuse and neglect, but this task is often complex. Our study developed a machine learning model using structured and unstructured electronic health record (EHR) data to predict when children ...
Knowledge Base Prototype Creating with Using Interdisciplinary Metathesaurus.
Studies in health technology and informatics
Aug 22, 2024
This article presents our experience in development an ontological model can be used in clinical decision support systems (CDSS) creating. We have used the largest international biomedical terminological metathesaurus the Unified Medical Language Sys...
Machine Learning-Based Prediction of 1-Year Survival Using Subjective and Objective Parameters in Patients With Cancer.
JCO clinical cancer informatics
Aug 1, 2024
PURPOSE: Palliative care is recommended for patients with cancer with a life expectancy of <12 months. Machine learning (ML) techniques can help in predicting survival outcomes among patients with cancer and may help distinguish who benefits the most...
The More, the Better? Modalities of Metastatic Status Extraction on Free Medical Reports Based on Natural Language Processing.
JCO clinical cancer informatics
Aug 1, 2024
Automated Extraction of Patient-Centered Outcomes After Breast Cancer Treatment: An Open-Source Large Language Model-Based Toolkit.
JCO clinical cancer informatics
Aug 1, 2024
PURPOSE: Patient-centered outcomes (PCOs) are pivotal in cancer treatment, as they directly reflect patients' quality of life. Although multiple studies suggest that factors affecting breast cancer-related morbidity and survival are influenced by tre...
Development and Validation of a Natural Language Processing Algorithm for Extracting Clinical and Pathological Features of Breast Cancer From Pathology Reports.
JCO clinical cancer informatics
Aug 1, 2024
PURPOSE: Electronic health records (EHRs) are valuable information repositories that offer insights for enhancing clinical research on breast cancer (BC) using real-world data. The objective of this study was to develop a natural language processing ...
Natural Language Processing Accurately Differentiates Cancer Symptom Information in Electronic Health Record Narratives.
JCO clinical cancer informatics
Aug 1, 2024
PURPOSE: Identifying cancer symptoms in electronic health record (EHR) narratives is feasible with natural language processing (NLP). However, more efficient NLP systems are needed to detect various symptoms and distinguish observed symptoms from neg...
Stratifying heart failure patients with graph neural network and transformer using Electronic Health Records to optimize drug response prediction.
Journal of the American Medical Informatics Association : JAMIA
Aug 1, 2024
OBJECTIVES: Heart failure (HF) impacts millions of patients worldwide, yet the variability in treatment responses remains a major challenge for healthcare professionals. The current treatment strategies, largely derived from population based evidence...
Cumulus: a federated electronic health record-based learning system powered by Fast Healthcare Interoperability Resources and artificial intelligence.
Journal of the American Medical Informatics Association : JAMIA
Aug 1, 2024
OBJECTIVE: To address challenges in large-scale electronic health record (EHR) data exchange, we sought to develop, deploy, and test an open source, cloud-hosted app "listener" that accesses standardized data across the SMART/HL7 Bulk FHIR Access app...
A general framework for developing computable clinical phenotype algorithms.
Journal of the American Medical Informatics Association : JAMIA
Aug 1, 2024
OBJECTIVE: To present a general framework providing high-level guidance to developers of computable algorithms for identifying patients with specific clinical conditions (phenotypes) through a variety of approaches, including but not limited to machi...
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