Varadraj Prabhu Gurupur

Orcid: 0000-0001-5723-7998

Affiliations:
  • University of Central Florida, Department of Health Management and Informatics, Orlando, USA


According to our database1, Varadraj Prabhu Gurupur authored at least 38 papers between 2005 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Legend:

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Links

Online presence:

On csauthors.net:

Bibliography

2024
Empirical Study of Feature Selection Methods in Regression for Large-Scale Healthcare Data: A Case Study on Estimating Dental Expenditures.
IEEE Access, 2024

2023
Information Entropy Measures for Evaluation of Reliability of Deep Neural Network Results.
Entropy, April, 2023

The need for innovations in healthcare systems using patient experience and advancing information technology.
J. Integr. Des. Process. Sci., 2023

Can the theories of information and communication channels be used to explain the complexities associated with transformation of data into information, and information to knowledge?
J. Integr. Des. Process. Sci., 2023

Deep neural networks and gradient-weighted class activation mapping to classify and analyze EEG.
Intell. Decis. Technol., 2023

THNN - A Neural Network Model for Telehealth Data Incompleteness Prediction.
Proceedings of the 45th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2023

2022
PC-LSTM: Ontology-based Long Short-Term Memory State Model for Data Incompleteness Prediction.
Proceedings of the 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2022

2021
A Brief Analysis of Key Machine Learning Methods for Predicting Medicare Payments Related to Physical Therapy Practices in the United States.
Inf., 2021

Impact of Gaussian Noise for Optimized Support Vector Machine Algorithm Applied to Medicare Payment on Raspberry Pi.
Informatica (Slovenia), 2021

Machine Learning Analysis for Data Incompleteness (MADI): Analyzing the Data Completeness of Patient Records Using a Random Variable Approach to Predict the Incompleteness of Electronic Health Records.
IEEE Access, 2021

2020
A novel nonintrusive decision support approach for heart rate measurement.
Pattern Recognit. Lett., 2020

2019
A deep learning approach for diagnosing schizophrenic patients.
J. Exp. Theor. Artif. Intell., 2019

Analysing the power of deep learning techniques over the traditional methods using medicare utilisation and provider data.
J. Exp. Theor. Artif. Intell., 2019

Disparities in patient record completeness with respect to the health care utilization project.
Health Informatics J., 2019

Multi-Modal Medical Image Fusion With Adaptive Weighted Combination of NSST Bands Using Chaotic Grey Wolf Optimization.
IEEE Access, 2019

2018
Recent advances in Big Data Analytics, Internet of Things and Machine Learning.
Future Gener. Comput. Syst., 2018

Diagnosing Schizophrenia: A Deep Learning Approach.
Proceedings of the 2018 ACM International Conference on Bioinformatics, 2018

2017
Design and Evaluation of Integrated Healthcare Informatics.
J. Integr. Des. Process. Sci., 2017

Identifying the readiness of patients in implementing telemedicine in northern Louisiana for an oncology practice.
Health Informatics J., 2017

Editorial: Frontiers in development of intelligent applications for medical imaging processing and computer vision.
Comput. Biol. Medicine, 2017

2016
Design of Health Information Systems.
J. Integr. Des. Process. Sci., 2016

Designing the Right Framework for Healthcare Decision Support.
J. Integr. Des. Process. Sci., 2016

Early Skin Cancer Detection Using Computer Aided Diagnosis Techniques.
J. Integr. Des. Process. Sci., 2016

Transitions of Care: A Patient-Centered Perspective of Health Information Systems That Support Post-Acute Care.
J. Integr. Des. Process. Sci., 2016

An entropy-based evaluation method for knowledge bases of medical information systems.
Expert Syst. Appl., 2016

A New Paradigm to Analyze Data Completeness of Patient Data.
Appl. Clin. Inform., 2016

2015
Evaluating student learning using concept maps and Markov chains.
Expert Syst. Appl., 2015

2014
Artificial Intelligence-Based Student Learning Evaluation: A Concept Map-Based Approach for Analyzing a Student's Understanding of a Topic.
IEEE Trans. Learn. Technol., 2014

Erratum to: C-PHIS: A Concept Map-Based Knowledge Base Framework to Develop Personal Health Information Systems.
J. Medical Syst., 2014

Semantic requirements sharing approach to develop software systems using concept maps and information entropy: A Personal Health Information System example.
Adv. Eng. Softw., 2014

2013
C-PHIS: A Concept Map-Based Knowledge Base Framework to Develop Personal Health Information Systems.
J. Medical Syst., 2013

Towards a Software Tool for Raising Awareness of Diabetic Foot in Diabetic Patients.
Proceedings of the 46th Hawaii International Conference on System Sciences, 2013

Artificial Intelligence Based Student Learning Evaluation Tool.
Proceedings of the IEEE Global Engineering Education Conference, 2013

2012
A System for Building Clinical Research Applications using Semantic Web-Based Approach.
J. Medical Syst., 2012

An Approach for Building a Personal Health Information System Using Conceptual Domain Knowledge.
J. Medical Syst., 2012

Location proofing using identity based encryption and the Google cloud on the mobile applications.
Proceedings of the 50th Annual Southeast Regional Conference, 2012

2006
Software cultivation using the artificial intelligence design framework.
Proceedings of the 44st Annual Southeast Regional Conference, 2006

2005
An Intelligent Design Framework Proposal Leveraging Axiomatic Design and the Semantic Web.
Trans. SDPS, 2005


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