AIMC Topic: Electronic Health Records
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A taxonomy for advancing systematic error analysis in multi-site electronic health record-based clinical concept extraction.
Journal of the American Medical Informatics Association : JAMIA
Jun 20, 2024
BACKGROUND: Error analysis plays a crucial role in clinical concept extraction, a fundamental subtask within clinical natural language processing (NLP). The process typically involves a manual review of error types, such as contextual and linguistic ...
Comparing natural language processing representations of coded disease sequences for prediction in electronic health records.
Journal of the American Medical Informatics Association : JAMIA
Jun 20, 2024
OBJECTIVE: Natural language processing (NLP) algorithms are increasingly being applied to obtain unsupervised representations of electronic health record (EHR) data, but their comparative performance at predicting clinical endpoints remains unclear. ...
Machine learning to predict notes for chart review in the oncology setting: a proof of concept strategy for improving clinician note-writing.
Journal of the American Medical Informatics Association : JAMIA
Jun 20, 2024
OBJECTIVE: Leverage electronic health record (EHR) audit logs to develop a machine learning (ML) model that predicts which notes a clinician wants to review when seeing oncology patients.
Predicting Glaucoma Surgical Outcomes Using Neural Networks and Machine Learning on Electronic Health Records.
Translational vision science & technology
Jun 3, 2024
PURPOSE: To develop machine learning (ML) and deep learning (DL) models to predict glaucoma surgical outcomes, including postoperative intraocular pressure, use of ocular antihypertensive medications, and need for repeat surgery.
A Health Care Clinical Data Platform for Rapid Deployment of Artificial Intelligence and Machine Learning Algorithms for Cancer Care and Oncology Clinical Trials.
North Carolina medical journal
Jun 1, 2024
The xCures platform aggregates, organizes, structures, and normalizes clinical EMR data across care sites, utilizing advanced technologies for near real-time access. The platform generates data in a format to support clinical care, accelerate researc...
Comments on Contemporary Uses of Machine Learning for Electronic Health Records.
North Carolina medical journal
Jun 1, 2024
Various decisions concerning the management, display, and diagnostic use of electronic health records (EHR) data can be automated using machine learning (ML). We describe how ML is currently applied to EHR data and how it may be applied in the near f...
VECTORS OF DEVELOPMENT OF THE UNIFIED MEDICAL INFORMATION SPACE.
Georgian medical news
Jun 1, 2024
AIM: The aim of the article is to analyze the current state of functioning of the medical information space of Ukraine in order to formulate scientifically sound proposals aimed at improving the implementation of medical reform.
Extracting Systemic Anticancer Therapy and Response Information From Clinical Notes Following the RECIST Definition.
JCO clinical cancer informatics
Jun 1, 2024
PURPOSE: The RECIST guidelines provide a standardized approach for evaluating the response of cancer to treatment, allowing for consistent comparison of treatment efficacy across different therapies and patients. However, collecting such information ...
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