AIMC Topic: Medical Records Systems, Computerized
Clear Filters Showing 21 to 30 of 33 articles
Machine-learning model to predict the cause of death using a stacking ensemble method for observational data.
Journal of the American Medical Informatics Association : JAMIA
Jun 12, 2021
OBJECTIVE: Cause of death is used as an important outcome of clinical research; however, access to cause-of-death data is limited. This study aimed to develop and validate a machine-learning model that predicts the cause of death from the patient's l...
Application of Artificial Intelligence for the Diagnosis and Treatment of Liver Diseases.
Hepatology (Baltimore, Md.)
Jun 1, 2021
Modern medical care produces large volumes of multimodal patient data, which many clinicians struggle to process and synthesize into actionable knowledge. In recent years, artificial intelligence (AI) has emerged as an effective tool in this regard. ...
Automating Clinical Chart Review: An Open-Source Natural Language Processing Pipeline Developed on Free-Text Radiology Reports From Patients With Glioblastoma.
JCO clinical cancer informatics
Jan 1, 2020
PURPOSE: The aim of this study was to develop an open-source natural language processing (NLP) pipeline for text mining of medical information from clinical reports. We also aimed to provide insight into why certain variables or reports are more suit...
Automatic Methods to Extract Prescription Status Quality Measures from Unstructured Health Records.
Studies in health technology and informatics
Aug 21, 2019
Hospital systems frequently implement quality measures to quantify healthcare processes and patient outcomes. One such measure that has previously been used is the Surgical Care Improvement Project (SCIP) quality measure of perioperative beta blocker...
Automatically Charting Symptoms From Patient-Physician Conversations Using Machine Learning.
JAMA internal medicine
Jun 1, 2019
This study assesses the feasibility of using machine learning to automatically populate a review of systems of all symptoms discussed in an encounter between a patient and a clinician.
Machine Learning in Medicine.
The New England journal of medicine
Apr 4, 2019
[Editor's Note].
Rinsho shinkeigaku = Clinical neurology
Jan 1, 2019
Linking Health Records with Knowledge Sources Using OWL and RDF.
Studies in health technology and informatics
Jan 1, 2019
This paper describes a method by which the Web Ontology Language (OWL) can be used to specify a highly structured health record, following internationally recognised standards such as ISO 13606 and HL7 CDA. The structured record is coded using scheme...
Automated mapping of laboratory tests to LOINC codes using noisy labels in a national electronic health record system database.
Journal of the American Medical Informatics Association : JAMIA
Oct 1, 2018
OBJECTIVE: Standards such as the Logical Observation Identifiers Names and Codes (LOINC®) are critical for interoperability and integrating data into common data models, but are inconsistently used. Without consistent mapping to standards, clinical d...
Deep Learning and Online Video: Advances in Transcription, Automated Indexing, and Manipulation.
Medical reference services quarterly
Jan 1, 2018
In recent years, the amount of video content created and uploaded to the Internet has grown exponentially. Video content has unique accessibility challenges: indexing, transcribing, and searching video has always been very labor intensive, and there ...
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