AIMC Journal:
Studies in health technology and informatics

Showing 441 to 450 of 1224 articles

Data Quality Estimation Via Model Performance: Machine Learning as a Validation Tool.

Studies in health technology and informatics
In our recent study, the attempt to classify neurosurgical operative reports into routinely used expert-derived classes exhibited an F-score not exceeding 0.74. This study aimed to test how improving the classifier (target variable) affected the shor...

Wearable AI Reveals the Impact of Intermittent Fasting on Stress Levels in School Children During Ramadan.

Studies in health technology and informatics
Intermittent fasting has been practiced for centuries across many cultures globally. Recently many studies have reported intermittent fasting for its lifestyle benefits, the major shift in eating habits and patterns is associated with several changes...

An Artificial Intelligence-Based Diagnostic System for Acute Lymphoblastic Leukemia Detection.

Studies in health technology and informatics
This study suggests a novel Acute Lymphoblastic Leukemia (ALL) diagnostic model, built solely on complete blood count (CBC) records. Using a dataset comprised of CBC records of 86 ALL and 86 control patients respectively, we identified the most ALL-s...

A Conceptual Framework to Predict Disease Progressions in Patients with Chronic Kidney Disease, Using Machine Learning and Process Mining.

Studies in health technology and informatics
Process Mining is a technique looking into the analysis and mining of existing process flow. On the other hand, Machine Learning is a data science field and a sub-branch of Artificial Intelligence with the main purpose of replicating human behavior t...

Microbiological and Virological Knowledge-Based Alert Service.

Studies in health technology and informatics
Hospital wards need immediate information about multi-resistant pathogens and contagious viruses in their hospitalized patients. An alert service configurable with Arden-Syntax-based alert definitions passing through an ontology service to complement...

Context-Sensitive Common Data Models for Genetic Rare Diseases - A Concept.

Studies in health technology and informatics
Current challenges of rare diseases need to involve patients, physicians, and the research community to generate new insights on comprehensive patient cohorts. Interestingly, the integration of patient context has been insufficiently considered, but ...

Predicting Mortality in COVID-19 Patients Using 6 Machine Learning Algorithms.

Studies in health technology and informatics
In late 2019, COVID-19 appeared and has since spread worldwide as the new pandemic, causing more than 6 million deaths. In dealing with this global crisis, the contribution of Artificial Intelligence was also important through the possibilities of cr...

Deep Learning Framework for Categorical Emotional States Assessment Using Electrodermal Activity Signals.

Studies in health technology and informatics
In this study, we attempted to classify categorical emotional states using Electrodermal Activity (EDA) signals and a configurable Convolutional Neural Network (cCNN). The EDA signals from the publicly available, Continuously Annotated Signals of Emo...

Increasing Trust in AI Using Explainable Artificial Intelligence for Histopathology - An Overview.

Studies in health technology and informatics
Digital Pathology is an area that could benefit a lot from the automatic classification of scanned microscopic slides. One of the main problems with this is that the experts need to understand and trust the decisions of the system. This paper is an o...

The Representation of Trust in Artificial Intelligence Healthcare Research.

Studies in health technology and informatics
Artificial intelligence (AI) tends to emerge as a relevant component of medical care, previously reserved for medical experts. A key factor for the utilization of AI is the user's trust in the AI itself, respectively the AIt's decision process, but A...