AIMC Journal:
Studies in health technology and informatics
Showing 581 to 590 of 1278 articles
Artificial Intelligence Solutions to Detect Fraud in Healthcare Settings: A Scoping Review.
Studies in health technology and informatics
Jun 29, 2022
Over the past decade, Artificial Intelligence (AI) technologies have quickly become implemented in protecting data, including detecting fraud in healthcare organizations. This scoping review aims to explore AI solutions utilized in fraud detection oc...
Artificial Intelligence-Based Mobile Application for Emotion Sensing for Children Through Art.
Studies in health technology and informatics
Jun 6, 2022
In this paper, we develop an artificial intelligence (A.I.) based Emotion Sensing Recognition App (ESRA) to help parents and teachers understand the emotions of children by analyzing their drawings. Four different experiments were conducted using a c...
Predicting Readmission Following Hospital Treatment for Patients with Alcohol Related Diagnoses in an Australian Regional Health District.
Studies in health technology and informatics
Jun 6, 2022
This study aims to investigate the prediction of hospital readmission of alcohol use disorder patients within 28 days of discharge and compare the performance of six machine learning methods i.e., random forest (RF), logistics regression, linear supp...
Comparing Multiple Models for Section Header Classification with Feature Evaluation.
Studies in health technology and informatics
Jun 6, 2022
We present on the performance evaluation of machine learning (ML) and Natural Language Processing (NLP) based Section Header classification. The section headers classification task was performed as a two-pass system. The first pass detects a section ...
A Natural Language Processing Tool Offering Data Extraction for COVID-19 Related Information (DECOVRI).
Studies in health technology and informatics
Jun 6, 2022
A new natural language processing (NLP) application for COVID-19 related information extraction from clinical text notes is being developed as part of our pandemic response efforts. This NLP application called DECOVRI (Data Extraction for COVID-19 Re...
Bottom-Up Natural Language Processing Based Evaluation of the Fitness of UMLS as a Semantic Source for a Computer Interpretable Guidelines Ontology.
Studies in health technology and informatics
Jun 6, 2022
BACKGROUND: CIGs languages consist of approach specific concepts. More widely used concepts, such as those in UMLS are not typically used.
Towards Better Diagnosis Prediction Using Bidirectional Recurrent Neural Networks.
Studies in health technology and informatics
Jun 6, 2022
Bidirectional recurrent neural networks (RNN) improved performance of various natural language processing tasks and recently have been used for diagnosis prediction. Advantages of general bidirectional RNN, however, are not readily applied to diagnos...
Comparison of Supervised and Self-Supervised Deep Representations Trained on Histological Images.
Studies in health technology and informatics
Jun 6, 2022
Self-supervised methods gain more and more attention, especially in the medical domain, where the number of labeled data is limited. They provide results on par or superior to their fully supervised competitors, yet the difference between information...
Using Artificial Intelligence for the Early Detection of Micro-Progression of Pressure Injuries in Hospitalized Patients: A Preliminary Nursing Perspective Evaluation.
Studies in health technology and informatics
Jun 6, 2022
This study established a predictive model for the early detection of micro-progression of pressure injuries (PIs) from the perspective of nurses. An easy and programing-free artificial intelligence modeling tool with professional evaluation capabilit...
Exploration of the Decision Model and Notation (DMN) Standard for Representation of Knowledge Bases Encoded in the Arden Syntax.
Studies in health technology and informatics
Jun 6, 2022
CONTEXT: Arden Syntax encodes knowledge as Medical Logic Modules (MLMs). Current work involves improvement of its representation of business processes.
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