Shahadat Uddin
Orcid: 0000-0003-0091-6919Affiliations:
- University of Sydney, Centre for Complex Systems Research, NSW, Australia
According to our database1,
Shahadat Uddin
authored at least 87 papers
between 2009 and 2023.
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Bibliography
2023
HARDC : A novel ECG-based heartbeat classification method to detect arrhythmia using hierarchical attention based dual structured RNN with dilated CNN.
Neural Networks, May, 2023
GRU-INC: An inception-attention based approach using GRU for human activity recognition.
Expert Syst. Appl., April, 2023
Health Inf. Sci. Syst., 2023
Hospital Readmission and Length-of-Stay Prediction Using an Optimized Hybrid Deep Model.
Future Internet, 2023
A parameterised model for link prediction using node centrality and similarity measure based on graph embedding.
CoRR, 2023
Proceedings of the Health Information Science - 12th International Conference, 2023
How could a weighted drug-drug network help improve adverse drug reaction predictions? Machine learning reveals the importance of edge weights.
Proceedings of the 2023 Australasian Computer Science Week, 2023
Mining adverse drug events from patients' disease histories via a GNN-based subgraph prediction method.
Proceedings of the 2023 Australasian Computer Science Week, 2023
2022
Softw. Impacts, 2022
Explainable Stacking-Based Model for Predicting Hospital Readmission for Diabetic Patients.
Inf., 2022
Comorbidity and multimorbidity prediction of major chronic diseases using machine learning and network analytics.
Expert Syst. Appl., 2022
Expert Syst. Appl., 2022
A patient network-based machine learning model for disease prediction: The case of type 2 diabetes mellitus.
Appl. Intell., 2022
A disease network-based recommender system framework for predictive risk modelling of chronic diseases and their comorbidities.
Appl. Intell., 2022
Proceedings of the ACSW 2022: Australasian Computer Science Week 2022, Brisbane, Australia, February 14, 2022
Analysis of patient-sharing provider network in Macarthur region, New South Wales, Australia using administrative claim data.
Proceedings of the ACSW 2022: Australasian Computer Science Week 2022, Brisbane, Australia, February 14, 2022
2021
Use of Electronic Health Data for Disease Prediction: A Comprehensive Literature Review.
IEEE ACM Trans. Comput. Biol. Bioinform., 2021
TClustVID: A novel machine learning classification model to investigate topics and sentiment in COVID-19 tweets.
Knowl. Based Syst., 2021
Network analytics and machine learning for predictive risk modelling of cardiovascular disease in patients with type 2 diabetes.
Expert Syst. Appl., 2021
Identifying molecular insight of synergistic complexities for SARS-CoV-2 infection with pre-existing type 2 diabetes.
Comput. Biol. Medicine, 2021
Machine learning and network-based models to identify genetic risk factors to the progression and survival of colorectal cancer.
Comput. Biol. Medicine, 2021
A deep learning approach using effective preprocessing techniques to detect COVID-19 from chest CT-scan and X-ray images.
Comput. Biol. Medicine, 2021
A Comparative Performance Analysis of Data Resampling Methods on Imbalance Medical Data.
IEEE Access, 2021
Emotion Recognition From EEG Signal Focusing on Deep Learning and Shallow Learning Techniques.
IEEE Access, 2021
Proceedings of the IEEE International Conference on Digital Health, 2021
Grading Diabetic Retinopathy Severity Using Modern Convolution Neural Networks (CNN).
Proceedings of the IEEE International Conference on Digital Health, 2021
The implementation of public health and economic measures during the first wave of COVID-19 by different countries with respect to time, infection rate and death rate.
Proceedings of the ACSW '21: 2021 Australasian Computer Science Week Multiconference, 2021
2020
A machine learning model to identify early stage symptoms of SARS-Cov-2 infected patients.
Expert Syst. Appl., 2020
Predicting Patient COVID-19 Disease Severity by means of Statistical and Machine Learning Analysis of Blood Cell Transcriptome Data.
CoRR, 2020
2019
A research framework to explore knowledge evolution and scholarly quantification of collaborative research.
Scientometrics, 2019
Scientometrics, 2019
BMC Medical Informatics Decis. Mak., 2019
Chronic disease prediction using administrative data and graph theory: The case of type 2 diabetes.
Expert Syst. Appl., 2019
Actor-Level Dynamicity: Its Distribution Analysis Eases Anomaly Detection in Longitudinal Networks.
IEEE Access, 2019
Bioinformatics Methodologies to Identify Interactions Between Type 2 Diabetes and Neurological Comorbidities.
IEEE Access, 2019
Machine Learning-Based Models for Early Stage Detection of Autism Spectrum Disorders.
IEEE Access, 2019
Understanding the Progression of Congestive Heart Failure of Type 2 Diabetes Patient Using Disease Network and Hospital Claim Data.
Proceedings of the Complex Networks and Their Applications VIII, 2019
Development and exploration of polymedication network from Pharmaceutical and Medicare Benefits Scheme data.
Proceedings of the Australasian Computer Science Week Multiconference, 2019
Proceedings of the Australasian Computer Science Week Multiconference, 2019
2018
Proceedings of the Encyclopedia of Social Network Analysis and Mining, 2nd Edition, 2018
Comorbidity network for chronic disease: A novel approach to understand type 2 diabetes progression.
Int. J. Medical Informatics, 2018
IEEE Access, 2018
2017
Proceedings of the Complex Networks & Their Applications VI, 2017
Mining Actor-level Structural and Neighborhood Evolution for Link Prediction in Dynamic Networks.
Proceedings of the 2017 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining 2017, Sydney, Australia, July 31, 2017
Proceedings of the 2017 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining 2017, Sydney, Australia, July 31, 2017
Understanding chronic disease comorbidities from baseline networks: knowledge discovery utilising administrative healthcare data.
Proceedings of the Australasian Computer Science Week Multiconference, 2017
2016
Time-aware link prediction to explore network effects on temporal knowledge evolution.
Scientometrics, 2016
Complex., 2016
Modeling networked systems using the topologically distributed bounded rationality framework.
Complex., 2016
Adapting graph theory and social network measures on healthcare data: a new framework to understand chronic disease progression.
Proceedings of the Australasian Computer Science Week Multiconference, 2016
2015
J. Artif. Intell. Soft Comput. Res., 2015
CoRR, 2015
Comput. Math. Organ. Theory, 2015
Administrative Claim Data to Learn about Effective Healthcare Collaboration and Coordination through Social Network.
Proceedings of the 48th Hawaii International Conference on System Sciences, 2015
2014
Influence of vaccination strategies and topology on the herd immunity of complex networks.
Soc. Netw. Anal. Min., 2014
Int. J. Inf. Technol. Decis. Mak., 2014
The impact of study load on the dynamics of longitudinal email communications among students.
Comput. Educ., 2014
Proceedings of the 2014 International Conference on Social Computing, Beijing, China, August 04, 2014
Proceedings of the 2014 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, 2014
2013
Soc. Netw. Anal. Min., 2013
Exploring communication networks to understand organizational crisis using exponential random graph models.
Comput. Math. Organ. Theory, 2013
Comput. Educ., 2013
Proceedings of the International Conference on Social Computing, SocialCom 2013, 2013
Proceedings of the International Conference on Social Computing, SocialCom 2013, 2013
Proceedings of the 46th Hawaii International Conference on System Sciences, 2013
Assessing Online Community-Building through Assortativity, Density and Centralization in Social Networks.
Proceedings of the 46th Hawaii International Conference on System Sciences, 2013
Proceedings of the 2013 IEEE Symposium on Computational Intelligence in Cyber Security, 2013
2012
New Directions in the Analysis of Social Network Dynamics.
Proceedings of the KDIR 2012 - Proceedings of the International Conference on Knowledge Discovery and Information Retrieval, Barcelona, Spain, 4, 2012
Proceedings of the International Conference on Advances in Social Networks Analysis and Mining, 2012
Proceedings of the International Conference on Advances in Social Networks Analysis and Mining, 2012
Community Evolution and Engagement through Assortative Mixing in Online Social Networks.
Proceedings of the International Conference on Advances in Social Networks Analysis and Mining, 2012
2011
Evolutionary dynamics of scientific collaboration networks: multi-levels and cross-time analysis.
Scientometrics, 2011
Static versus dynamic topology of complex communications network during organizational crisis.
Complex., 2011
Exponential random graph modeling of communication networks to understand organizational crisis.
Proceedings of the 2011 Computer Personnel Research Conference, SIGMIS-CPR '11, San Antonio, TX, USA, May 19, 2011
Proceedings of the International Conference on Advances in Social Networks Analysis and Mining, 2011
2010
Proceedings of the Pacific Asia Conference on Information Systems, 2010
Understanding Communication Network Cohesiveness during Organizational Crisis: Effects of Clique and Transitivity.
Proceedings of the International Conference on Information Systems, 2010
2009
Proceedings of the Electronic Government, 8th International Conference, 2009