Inherent bias in artificial intelligence-based decision support systems for healthcare

V Gurupur, TTH Wan - Medicina, 2020 - mdpi.com
The objective of this article is to discuss the inherent bias involved with artificial intelligence-
based decision support systems for healthcare. In this article, the authors describe some …

Analyzing the use of concept maps in computer science: A systematic mapping study

V SANTOS, ÉF SOUZA, KR Felizardo… - Informatics in …, 2017 - ceeol.com
Context: concept Maps (CMs) enable the creation of a schematic representation of a domain
knowledge. For this reason, CMs have been applied in different research areas, including …

The UDSA ontology: An ontology to support real time urban sustainability assessment

C Kuster, JL Hippolyte, Y Rezgui - Advances in Engineering Software, 2020 - Elsevier
Urban sustainability assessment frameworks have emerged during the past decade to
address holistically the complexity of the urban landscape through a systems approach …

An entropy-based evaluation method for knowledge bases of medical information systems

CF Hempelmann, U Sakoglu, VP Gurupur… - Expert Systems with …, 2016 - Elsevier
In this paper we introduce a method to develop knowledge bases for medical decision
support systems, with a focus on evaluating such knowledge bases. Departing from earlier …

A novel fusion approach for early lung cancer detection using computer aided diagnosis techniques

SL Fernandes, VP Gurupur, H Lin… - Journal of Medical …, 2017 - ingentaconnect.com
Computer Aided Diagnosis (CAD) plays an effective and important role in radiology. It
provides second opinion to the radiologists during patient image assessment. In this work …

Evaluating student learning using concept maps and Markov chains

VP Gurupur, GP Jain, R Rudraraju - Expert Systems with Applications, 2015 - Elsevier
In this paper we describe a tool that can be effectively used to evaluate student learning
outcomes using concept maps and Markov chain analysis. The main purpose of this tool is …

Structured query language learning: Concept map-based instruction based on cognitive load theory

SS Shin - IEEE Access, 2020 - ieeexplore.ieee.org
Structured query language (SQL) is difficult to master because the execution process of SQL
statements is invisible. When learning to construct an SQL query, learners must visualise the …

Analysing the power of deep learning techniques over the traditional methods using medicare utilisation and provider data

VP Gurupur, SA Kulkarni, X Liu, U Desai… - Journal of Experimental …, 2019 - Taylor & Francis
ABSTRACT Deep Learning Technique (DLT) is the sub-branch of Machine Learning (ML)
which assists to learn the data in multiple levels of representation and abstraction and …

Towards evaluation of cloud ontologies

MM Al-Sayed, HA Hassan, FA Omara - Journal of Parallel and Distributed …, 2019 - Elsevier
Many enterprises consider that cloud computing will continue to play a key role due to its
ability to deliver various types of on-demand IT services, and according to customer needs …

A novel decision support for composite sketch matching using fusion of probabilistic neural network and dictionary matching

SL Fernandes, JG Bala - Current Medical Imaging, 2017 - ingentaconnect.com
Traditional pencil sketches drawn by skilled pencil sketch artists are a product of illustration
based on exaggeration; there is always some amount of discrepancy between the …