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Results: 38
Is information provided within chronic subdural haematoma education resources adequate? A scoping review.
Conor S Gillespie, Samuel Khanna, Mark E Vivian, Samuel McKoy, Alvaro Yanez Touzet, Ellie Edlmann, Daniel J Stubbs, Benjamin M Davies
Apr 17, 2023
Background
Chronic subdural haematoma (CSDH) is becoming increasingly prevalent, due to an aging population with increasing risk factors. Due to its variable disease course and high morbidity, patient centred care and...
Published by: PLOS ONE
A Text Mining Framework for Analyzing Change Impact and Maintenance Effort of Software Bug Reports
Software practitioners often strive to achieve a “bug-free” software, though, it is a myth. Software Bug Categorization (SBC) models, which assigns levels (viz. “low”, “moderate” or “high”) to a software bug aid effective bug...
Published by: IGI Global
Analyzing Evolution Patterns of Object-Oriented Metrics
Software evolution is mandatory to keep it useful and functional. However, the quality of the evolving software may degrade due to improper incorporation of changes. Quality can be monitored by analyzing the trends of software...
Published by: IGI Global
An Artificial Intelligence-Based Smart System for Early Glaucoma Recognition Using OCT Images
Glaucoma is a progressive and constant eye disease that leads to a deficiency of peripheral vision and, at last, leads to irrevocable loss of vision. Detection and identification of glaucoma are essential for earlier treatment...
Published by: IGI Global
Availability and Access to Support Services in a Blended Learning Environment
The transformation in the distance education system has led to the emergence of blended learning approaches that have necessitated effective support to facilitate students learning. This web survey aimed at determining the kinds...
Published by: IGI Global
An Artificial Intelligence-Based Smart System for Early Glaucoma Recognition Using OCT Images
Glaucoma is a progressive and constant eye disease that leads to a deficiency of peripheral vision and, at last, leads to irrevocable loss of vision. Detection and identification of glaucoma are essential for earlier treatment...
Medical, Healthcare, and Life Sciences Medical Diagnosis and Practice Medical Imaging Computer Science and Information Technology Media and Communications
Published by: IGI Global
E-Revenue Adoption in State Internal Revenue Service
This paper focuses on investigating factors affecting e-revenue adoption in State Internally Revenue Service. The study utilizes a quantitative research methods. A conceptual research model to investigate factors affecting...
Published by: IGI Global
COVID-19 Vaccine Global Information Management Through Bibliometrics
Vaccination is nowadays the most used option to stem the covid-19 pandemic. The global impact of the pandemic has triggered an unprecedented frenzy for research axis related to COVID-19 vaccine. Since 2019, the volume of...
Published by: IGI Global
Does Age Matter?
Previous literature has suggested that age indirectly influences the intention to adopt an information technology, and notably a m-health application. However, few studies have investigated this link. Voluntarily proximity...
Published by: IGI Global
Differing Perceptions of the Smartwatch by Users Within Developed Countries
This article aims to identify differences in the impact of Self-connectivity and the variables of the technological acceptance model (TAM) on smartwatch adoption in developed countries. The countries involved in the data...
Published by: IGI Global
Intellectual Structure and Publication Pattern in Journal of Global Information Management
The Journal of Global Information Management has been publishing high-quality research related to information systems since 1993. The current study provides a retrospective of its magnificent journey. The study recognizes...
Published by: IGI Global
Review of Richard Kearney and Brian Treanor (eds.), Carnal Hermeneutics, New York
Samuel R. R. Underwood
Jan 04, 2019
Carnal Hermeneutics is a collection of essays published in 2015 in the “Perspectives in Continental Philosophy” series by Fordham University Press. The contributors fall into two categories: established French philosophers...
Published by: Memorial University of Newfoundland
Anonymity, Systems Characteristics, and Feedback Provision in Online Learning Communities
The growing ubiquity of the Internet has attracted various studies on the various issues concerning online communities for education. These studies assume that systems characteristics do not play any major role in the behaviours...
Published by: IGI Global
Performance Evaluation of Machine Learning Algorithms for Stock Price and Stock Index Movement Prediction Using Trend Deterministic Data Prediction
This experimental study addresses the problem of predicting the direction of stocks and the movement of stock price indices for three major stocks and stock indices. The proposed approach for processing input data involves the...
Published by: IGI Global
Integration of Multi-Class Service Paradigm With Generic Trust Mechanism for Innovation, Customization and Adaptability in MANETs
Trust-based mechanisms are widely used in wireless networks of different kinds for providing security against attack. Trust mechanism provides security from various attacks using both detective and preventive manner. This paper...
Published by: IGI Global
Service Quality Measurement in Information Systems
Traditionally measurements of service quality have followed the expectation-disconfirmation approach. Further, previous studies have shown that negative disconfirmation is more influential than positive disconfirmation. In this...
Published by: IGI Global
Fostering Financial Inclusion in a Developing Country
Financial inclusion is a vital development priority for countries worldwide. Mobile wallet (m-wallet) is considered as a disruptive payment method that will substitute the traditional physical wallet to achieve the so-called...
Published by: IGI Global
Using machine learning to create a repository of judgments concerning a new practice area
Abstract Judgments concerning animals have arisen across a variety of established practice areas. There is, however, no publicly available repository of judgments concerning the emerging practice...
Impacts of Risks Over Benefits in the Adoption of Self-Tracking Technologies
Self-tracking (ST) technologies offer an unlimited number of opportunities to improve human life, especially health and well-being. Many scholars have been interested in this technology because of its worldwide spread but have...
Published by: IGI Global
Comparison Analysis of GLCM and PCA on Parkinson's Disease Using Structural MRI
Parkinson disease (PD) is a neurological disorder where the dopaminergic neurons experience deterioration. It is caused from the death of the dopamine neurons present in the substantia nigra i.e., the mid part of the brain. The...
Published by: IGI Global
Fostering Financial Inclusion in a Developing Country
Financial inclusion is a vital development priority for countries worldwide. Mobile wallet (m-wallet) is considered as a disruptive payment method that will substitute the traditional physical wallet to achieve the so-called...
Accounting & Finance Business and Management Accounting and Finance Social Sciences and Humanities Government and Law
Published by: IGI Global
Towards Detecting Dementia via Deep Learning
Dementia is a brain disorder that causes loss of memory leading to disruption in the normal course of life of an individual. It is emerging as a global health problem in adults with age 65 years or above. Early diagnosis of...
Published by: IGI Global
Incorporating Physics Principles in General Biology to Promote Integrative Learning and Thinking
Students often struggle to identify correlations among various concepts in STEM courses, such as energy, mechanics, and cellular communication. Integrative learning incorporates numerous concepts and subjects to aid...
Published by: IGI Global
Evaluation of Parameter Settings for Training Neural Networks Using Backpropagation Algorithms
Artificial neural networks (ANN) are widely used for classification, and the training algorithm commonly used is the backpropagation (BP) algorithm. The major bottleneck faced in the backpropagation neural network training is in...
Published by: IGI Global
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