AIMC Topic: Electronic Health Records
Clear Filters Showing 2021 to 2030 of 2596 articles
Predicting type 1 diabetes in children using electronic health records in primary care in the UK: development and validation of a machine-learning algorithm.
The Lancet. Digital health
Jun 1, 2024
BACKGROUND: Children presenting to primary care with suspected type 1 diabetes should be referred immediately to secondary care to avoid life-threatening diabetic ketoacidosis. However, early recognition of children with type 1 diabetes is challengin...
Exploring Negated Entites for Named Entity Recognition in Italian Lung Cancer Clinical Reports.
Studies in health technology and informatics
May 23, 2024
This paper explores the potential of leveraging electronic health records (EHRs) for personalized health research through the application of artificial intelligence (AI) techniques, specifically Named Entity Recognition (NER). By extracting crucial p...
Development of a Method for Automatic Matching of Unstructured Medical Data to ICD-10 Codes.
Studies in health technology and informatics
May 23, 2024
Inconsistent disease coding standards in medicine create hurdles in data exchange and analysis. This paper proposes a machine learning system to address this challenge. The system automatically matches unstructured medical text (doctor notes, complai...
Clinician perspectives on how situational context and augmented intelligence design features impact perceived usefulness of sepsis prediction scores embedded within a simulated electronic health record.
Journal of the American Medical Informatics Association : JAMIA
May 20, 2024
OBJECTIVE: Obtain clinicians' perspectives on early warning scores (EWS) use within context of clinical cases.
Transparent deep learning to identify autism spectrum disorders (ASD) in EHR using clinical notes.
Journal of the American Medical Informatics Association : JAMIA
May 20, 2024
OBJECTIVE: Machine learning (ML) is increasingly employed to diagnose medical conditions, with algorithms trained to assign a single label using a black-box approach. We created an ML approach using deep learning that generates outcomes that are tran...
Constructing synthetic datasets with generative artificial intelligence to train large language models to classify acute renal failure from clinical notes.
Journal of the American Medical Informatics Association : JAMIA
May 20, 2024
OBJECTIVES: To compare performances of a classifier that leverages language models when trained on synthetic versus authentic clinical notes.
Automated stratification of trauma injury severity across multiple body regions using multi-modal, multi-class machine learning models.
Journal of the American Medical Informatics Association : JAMIA
May 20, 2024
OBJECTIVE: The timely stratification of trauma injury severity can enhance the quality of trauma care but it requires intense manual annotation from certified trauma coders. The objective of this study is to develop machine learning models for the st...
Collaborative and privacy-enhancing workflows on a clinical data warehouse: an example developing natural language processing pipelines to detect medical conditions.
Journal of the American Medical Informatics Association : JAMIA
May 20, 2024
OBJECTIVE: To develop and validate a natural language processing (NLP) pipeline that detects 18 conditions in French clinical notes, including 16 comorbidities of the Charlson index, while exploring a collaborative and privacy-enhancing workflow.
Multimodal learning for temporal relation extraction in clinical texts.
Journal of the American Medical Informatics Association : JAMIA
May 20, 2024
OBJECTIVES: This study focuses on refining temporal relation extraction within medical documents by introducing an innovative bimodal architecture. The overarching goal is to enhance our understanding of narrative processes in the medical domain, par...
Preparing for the bedside-optimizing a postpartum depression risk prediction model for clinical implementation in a health system.
Journal of the American Medical Informatics Association : JAMIA
May 20, 2024
OBJECTIVE: We developed and externally validated a machine-learning model to predict postpartum depression (PPD) using data from electronic health records (EHRs). Effort is under way to implement the PPD prediction model within the EHR system for cli...
Stay Ahead of Medical AI
Join thousands of healthcare professionals staying informed about the latest AI breakthroughs in medicine. Get curated insights delivered to your inbox.
Subscribe NowPopular Topics
- Machine Learning 32557
- Neural Networks, Computer 30510
- Algorithms 27757
- Deep Learning 27309
- Artificial Intelligence 25232
- Robotics 13437
- Image Processing, Computer-Assisted 9895
- Retrospective Studies 9539
- Magnetic Resonance Imaging 6485
- Reproducibility of Results 5747
- Tomography, X-Ray Computed 4963
- Support Vector Machine 4816
- Computational Biology 4399
- Brain 4188
- Computer Simulation 3965
Recent Journals
- Scientific reports 7016
- Sensors (Basel, Switzerland) 4794
- PloS one 4344
- Neural networks : the official journal of the International Neural Network Society 3035
- Computers in biology and medicine 2040
- Computational intelligence and neuroscience 1931
- Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference 1686
- Studies in health technology and informatics 1395
- IEEE journal of biomedical and health informatics 1202
- Journal of chemical information and modeling 1092
- Nature communications 1072
- Computer methods and programs in biomedicine 895
- Journal of medical Internet research 884
- Bioinformatics (Oxford, England) 882
- IEEE transactions on neural networks and learning systems 860