Shahadat Uddin

Publication Activity (10 Years)

Years Active: 2010-2024
Publications (10 Years): 56

Top Topics

Chronic Disease

Adverse Drug Reaction

Link Prediction

Top Venues

Expert Syst. Appl.

Publications

Haohui Lu, Shahadat Uddin
A parameterised model for link prediction using node centrality and similarity measure based on graph embedding. Neurocomputing 593 (2024)
Fangyu Zhou, Shahadat Uddin
Fusion of Graph and Natural Language Processing in Predictive Analytics for Adverse Drug Reactions. ACSW (2024)
Alireza Tavakolian, Alireza Rezaee, Farshid Hajati, Shahadat Uddin
Hospital Readmission and Length-of-Stay Prediction Using an Optimized Hybrid Deep Model. Future Internet 15 (9) (2023)
Haohui Lu, Shahadat Uddin
A parameterised model for link prediction using node centrality and similarity measure based on graph embedding. CoRR (2023)
Md. Shofiqul Islam, Khondokar Fida Hasan, Sunjida Sultana, Shahadat Uddin, Pietro Lio', Julian M. W. Quinn, Mohammad Ali Moni
HARDC : A novel ECG-based heartbeat classification method to detect arrhythmia using hierarchical attention based dual structured RNN with dilated CNN. Neural Networks 162 (2023)
Md. Shofiqul Islam, Khondokar Fida Hasan, Sunjida Sultana, Shahadat Uddin, Pietro Liò, Julian M. W. Quinn, Mohammad Ali Moni
HARDC : A novel ECG-based heartbeat classification method to detect arrhythmia using hierarchical attention based dual structured RNN with dilated CNN. CoRR (2023)
Taima Rahman Mim, Maliha Amatullah, Sadia Afreen, Mohammad Abu Yousuf, Shahadat Uddin, Salem A. Alyami, Khondokar Fida Hasan, Mohammad Ali Moni
GRU-INC: An inception-attention based approach using GRU for human activity recognition. Expert Syst. Appl. 216 (2023)
Fangyu Zhou, Shahadat Uddin
Mining adverse drug events from patients' disease histories via a GNN-based subgraph prediction method. ACSW (2023)
Fangyu Zhou, Shahadat Uddin
How could a weighted drug-drug network help improve adverse drug reaction predictions? Machine learning reveals the importance of edge weights. ACSW (2023)
Shahadat Uddin, Arif Khan, Haohui Lu
Impact of COVID-19 on Journal Impact Factor. J. Informetrics 17 (4) (2023)
Haohui Lu, Shahadat Uddin
KNN-Based Patient Network and Ensemble Machine Learning for Disease Prediction. HIS (2023)
Haohui Lu, Shahadat Uddin
Embedding-based link predictions to explore latent comorbidity of chronic diseases. Health Inf. Sci. Syst. 11 (1) (2023)
Haohui Lu, Shahadat Uddin, Farshid Hajati, Mohammad Ali Moni, Matloob Khushi
A patient network-based machine learning model for disease prediction: The case of type 2 diabetes mellitus. Appl. Intell. 52 (3) (2022)
Haohui Lu, Shahadat Uddin, Farshid Hajati, Matloob Khushi, Mohammad Ali Moni
Predictive risk modelling in mental health issues using machine learning on graphs. ACSW (2022)
Haohui Lu, Shahadat Uddin
Explainable Stacking-Based Model for Predicting Hospital Readmission for Diabetic Patients. Inf. 13 (9) (2022)
Alireza Tavakolian, Farshid Hajati, Alireza Rezaee, Amirhossein Oliaei Fasakhodi, Shahadat Uddin
Source Code for Optimized Parallel Inception: A Fast COVID-19 Screening Software. Softw. Impacts 13 (2022)
Alireza Tavakolian, Farshid Hajati, Alireza Rezaee, Amirhossein Oliaei Fasakhodi, Shahadat Uddin
Fast COVID-19 versus H1N1 screening using Optimized Parallel Inception. Expert Syst. Appl. 204 (2022)
Shahadat Uddin, Shangzhou Wang, Haohui Lu, Arif Khan, Farshid Hajati, Matloob Khushi
Comorbidity and multimorbidity prediction of major chronic diseases using machine learning and network analytics. Expert Syst. Appl. 205 (2022)
Shakir Karim, Shahadat Uddin
Analysis of patient-sharing provider network in Macarthur region, New South Wales, Australia using administrative claim data. ACSW (2022)
Shangzhou Wang, Haohui Lu, Arif Khan, Farshid Hajati, Matloob Khushi, Shahadat Uddin
A machine learning software tool for multiclass classification. Softw. Impacts 13 (2022)
Haohui Lu, Shahadat Uddin
A disease network-based recommender system framework for predictive risk modelling of chronic diseases and their comorbidities. Appl. Intell. 52 (9) (2022)
M. Babul Islam, Utpala Nanda Chowdhury, Zulkar Nain, Shahadat Uddin, Mohammad Boshir Ahmed, Mohammad Ali Moni
Identifying molecular insight of synergistic complexities for SARS-CoV-2 infection with pre-existing type 2 diabetes. Comput. Biol. Medicine 136 (2021)
Jackson Zhou, Matloob Khushi, Mohammad Ali Moni, Shahadat Uddin, Simon K. Poon
Lung Cancer Prediction Using Curriculum Learning Based Deep Neural Networks. ICDH (2021)
Khabir Uddin Ahamed, Manowarul Islam, Ashraf Uddin, Arnisha Akhter, Bikash Kumar Paul, Mohammad Abu Yousuf, Shahadat Uddin, Julian M. W. Quinn, Mohammad Ali Moni
A deep learning approach using effective preprocessing techniques to detect COVID-19 from chest CT-scan and X-ray images. Comput. Biol. Medicine 139 (2021)
Md. Jakir Hossain, Utpala Nanda Chowdhury, M. Babul Islam, Shahadat Uddin, Mohammad Boshir Ahmed, Julian M. W. Quinn, Mohammad Ali Moni
Machine learning and network-based models to identify genetic risk factors to the progression and survival of colorectal cancer. Comput. Biol. Medicine 135 (2021)
Matloob Khushi, Kamran Shaukat, Talha Mahboob Alam, Ibrahim A. Hameed, Shahadat Uddin, Suhuai Luo, Xiaoyan Yang, Maranatha Consuelo Reyes
A Comparative Performance Analysis of Data Resampling Methods on Imbalance Medical Data. IEEE Access 9 (2021)
Md Ekramul Hossain, Arif Khan, Mohammad Ali Moni, Shahadat Uddin
Use of Electronic Health Data for Disease Prediction: A Comprehensive Literature Review. IEEE ACM Trans. Comput. Biol. Bioinform. 18 (2) (2021)
Md. Shahriare Satu, Md. Imran Khan, Mufti Mahmud, Shahadat Uddin, Matthew A. Summers, Julian M. W. Quinn, Mohammad Ali Moni
TClustVID: A novel machine learning classification model to investigate topics and sentiment in COVID-19 tweets. Knowl. Based Syst. 226 (2021)
Shahadat Uddin, Tasadduq Imam, Mohammad Mozumdar
Research interdisciplinarity: STEM versus non-STEM. Scientometrics 126 (1) (2021)
Md. Rabiul Islam, Mohammad Ali Moni, Md. Milon Islam, Md Rashed-Al-Mahfuz, Md. Saiful Islam, Md. Kamrul Hasan, Md. Sabir Hossain, Mohiuddin Ahmad, Shahadat Uddin, A. K. M. Azad, Salem A. Alyami, Md. Atiqur Rahman Ahad, Pietro Lió
Emotion Recognition From EEG Signal Focusing on Deep Learning and Shallow Learning Techniques. IEEE Access 9 (2021)
Andrew Lee, Matloob Khushi, Patrick Hao, Shahadat Uddin, Simon K. Poon
Grading Diabetic Retinopathy Severity Using Modern Convolution Neural Networks (CNN). ICDH (2021)
Md Ekramul Hossain, Shahadat Uddin, Arif Khan
Network analytics and machine learning for predictive risk modelling of cardiovascular disease in patients with type 2 diabetes. Expert Syst. Appl. 164 (2021)
Shahadat Uddin, Tasadduq Imam, Mohammad Ali Moni
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. ACSW (2021)
Sakifa Aktar, Md. Martuza Ahamad, Md Rashed-Al-Mahfuz, A. K. M. Azad, Shahadat Uddin, A. H. M. Kamal, Salem A. Alyami, Ping-I Lin, Sheikh Mohammed Shariful Islam, Julian M. W. Quinn, Valsamma Eapen, Mohammad Ali Moni
Predicting Patient COVID-19 Disease Severity by means of Statistical and Machine Learning Analysis of Blood Cell Transcriptome Data. CoRR (2020)
Md. Martuza Ahamad, Sakifa Aktar, Md Rashed-Al-Mahfuz, Shahadat Uddin, Pietro Liò, Haoming Xu, Matthew A. Summers, Julian M. W. Quinn, Mohammad Ali Moni
A machine learning model to identify early stage symptoms of SARS-Cov-2 infected patients. Expert Syst. Appl. 160 (2020)
Arif Khan, Shahadat Uddin, Uma Srinivasan
Chronic disease prediction using administrative data and graph theory: The case of type 2 diabetes. Expert Syst. Appl. 136 (2019)
Md Ekramul Hossain, Arif Khan, Shahadat Uddin
Understanding the Comorbidity of Multiple Chronic Diseases Using a Network Approach. ACSW (2019)
Md Ekramul Hossain, Arif Khan, Shahadat Uddin
Understanding the Progression of Congestive Heart Failure of Type 2 Diabetes Patient Using Disease Network and Hospital Claim Data. COMPLEX NETWORKS (2) (2019)
Tania Akter, Md. Shahriare Satu, Md. Imran Khan, Mohammad Hanif Ali, Shahadat Uddin, Pietro Lió, Julian M. W. Quinn, Mohammad Ali Moni
Machine Learning-Based Models for Early Stage Detection of Autism Spectrum Disorders. IEEE Access 7 (2019)
Arif Khan, Uma Srinivasan, Shahadat Uddin
Development and exploration of polymedication network from Pharmaceutical and Medicare Benefits Scheme data. ACSW (2019)
Shahadat Uddin, Arif Khan, Md Ekramul Hossain, Mohammad Ali Moni
Comparing different supervised machine learning algorithms for disease prediction. BMC Medical Informatics Decis. Mak. 19 (1) (2019)
Md Habibur Rahman, Silong Peng, Xiyuan Hu, Chen Chen, Shahadat Uddin, Julian M. W. Quinn, Mohammad Ali Moni
Bioinformatics Methodologies to Identify Interactions Between Type 2 Diabetes and Neurological Comorbidities. IEEE Access 7 (2019)
Arif Khan, Nazim Choudhury, Shahadat Uddin
Few research fields play major role in interdisciplinary grant success. Scientometrics 119 (1) (2019)
Shahadat Uddin, Nazim Choudhury, Md Ekramul Hossain
A research framework to explore knowledge evolution and scholarly quantification of collaborative research. Scientometrics 119 (2) (2019)
Shahadat Uddin, Nazim Choudhury
Actor-Level Dynamicity: Its Distribution Analysis Eases Anomaly Detection in Longitudinal Networks. IEEE Access 7 (2019)
Shahadat Uddin, Md Ekramul Hossain, Arif Khan
Triad Census and Subgroup Analysis of Patient-Sharing Physician Collaborations. IEEE Access 6 (2018)
Arif Khan, Shahadat Uddin, Uma Srinivasan
Comorbidity network for chronic disease: A novel approach to understand type 2 diabetes progression. Int. J. Medical Informatics 115 (2018)
Nazim Choudhury, Shahadat Uddin
Evolutionary Community Mining for Link Prediction in Dynamic Networks. COMPLEX NETWORKS (2017)
Nazim Choudhury, Shahadat Uddin
Mining Actor-level Structural and Neighborhood Evolution for Link Prediction in Dynamic Networks. ASONAM (2017)
Arif Khan, Shahadat Uddin, Uma Srinivasan
Understanding chronic disease comorbidities from baseline networks: knowledge discovery utilising administrative healthcare data. ACSW (2017)
Mohiuddin Ahmed, Nazim Choudhury, Shahadat Uddin
Anomaly Detection on Big Data in Financial Markets. ASONAM (2017)
Shahadat Uddin, Arif Khan, Mahendra Piraveenan
A set of measures to quantify the dynamicity of longitudinal social networks. Complex. 21 (6) (2016)
Arif Khan, Shahadat Uddin, Uma Srinivasan
Adapting graph theory and social network measures on healthcare data: a new framework to understand chronic disease progression. ACSW (2016)
Dharshana Kasthurirathna, Mahendra Piraveenan, Shahadat Uddin
Modeling networked systems using the topologically distributed bounded rationality framework. Complex. 21 (S2) (2016)
Shahadat Uddin, Arif Khan
The impact of author-selected keywords on citation counts. J. Informetrics 10 (4) (2016)
Nazim Choudhury, Shahadat Uddin
Time-aware link prediction to explore network effects on temporal knowledge evolution. Scientometrics 108 (2) (2016)
Shahadat Uddin, Arif Khan, Louise A. Baur
A Framework to Explore the Knowledge Structure of Multidisciplinary Research Fields. CoRR (2015)
Uma Srinivasan, Shahadat Uddin
A Social Network Framework to Explore Healthcare Collaboration. CoRR (2015)
Shahadat Uddin, Arif Khan, Mahendra Piraveenan
Administrative Claim Data to Learn about Effective Healthcare Collaboration and Coordination through Social Network. HICSS (2015)
Liaquat Hossain, Rolf T. Wigand, Shahadat Uddin
Statistical Network Topology for Crisis Informetrics. CoRR (2015)
Shahadat Uddin, Arif Khan, Liaquat Hossain, Mahendra Piraveenan, Sven A. Carlsson
A topological framework to explore longitudinal social networks. Comput. Math. Organ. Theory 21 (1) (2015)
Dharshana Kasthurirathna, Mahendra Piraveenan, Shahadat Uddin
Evolutionary stable strategies in networked games: the influence of topology. CoRR (2015)
Dharshana Kasthurirathna, Mahendra Piraveenan, Shahadat Uddin
Evolutionary Stable Strategies In Networked Games: The Influence Of Topology. J. Artif. Intell. Soft Comput. Res. 5 (2) (2015)
Dharshana Kasthurirathna, Harrison Nguyen, Mahendra Piraveenan, Shahadat Uddin, Upul Senanayake
Optimisation of strategy placements for public good in complex networks. SocialCom (2014)
Dharshana Kasthurirathna, Harrison Nguyen, Mahendra Piraveenan, Shahadat Uddin, Upul Senanayake
Optimisation of strategy placements for public good in complex networks. SocialCom (2014)
Shahadat Uddin, Liaquat Hossain, Rolf T. Wigand
New Direction in Degree Centrality Measure: Towards a Time-Variant Approach. Int. J. Inf. Technol. Decis. Mak. 13 (4) (2014)
Gnana Thedchanamoorthy, Mahendra Piraveenan, Shahadat Uddin, Upul Senanayake
Influence of vaccination strategies and topology on the herd immunity of complex networks. Soc. Netw. Anal. Min. 4 (1) (2014)
Shahadat Uddin, Kate Thompson, Beat Schwendimann, Mahendra Piraveenan
The impact of study load on the dynamics of longitudinal email communications among students. Comput. Educ. 72 (2014)
Fei Wang, Uma Srinivasan, Shahadat Uddin, Sanjay Chawla
Application of network analysis on healthcare. ASONAM (2014)
Shahadat Uddin, Michael J. Jacobson
Dynamics of email communications among university students throughout a semester. Comput. Educ. 64 (2013)
Kon Shing Kenneth Chung, Mahendra Piraveenan, Andrew Vakarau Levula, Shahadat Uddin
Assessing Online Community-Building through Assortativity, Density and Centralization in Social Networks. HICSS (2013)
Mahendra Piraveenan, Gnana Thedchanamoorthy, Shahadat Uddin, Kon Shing Kenneth Chung
Quantifying topological robustness of networks under sustained targeted attacks. Soc. Netw. Anal. Min. 3 (4) (2013)
Shahadat Uddin, Mahendra Piraveenan, Kon Shing Kenneth Chung, Liaquat Hossain
Topological Analysis of Longitudinal Networks. HICSS (2013)
Mahendra Piraveenan, Shahadat Uddin, Gnana Thedchanamoorthy
Effect of Vaccination Strategies on the Herd Immunity of Growing Networks. SocialCom (2013)
Shahadat Uddin, Jafar Hamra, Liaquat Hossain
Exploring communication networks to understand organizational crisis using exponential random graph models. Comput. Math. Organ. Theory 19 (1) (2013)
Shahadat Uddin, Mahendra Piraveenan, Arif Khan, Babak Amiri
Conceptual quantification of the dynamicity of longitudinal social networks. CoRR (2013)
Shahadat Uddin, Mahendra Piraveenan, Arif Khan, Babak Amiri
Conceptual Quantification of the Dynamicity of Longitudinal Social Networks. SocialCom (2013)
Mahendra Piraveenan, Shahadat Uddin, Kon Shing Kenneth Chung, Dharshana Kasthurirathna
Quantifying encircling behaviour in complex networks. CICS (2013)
Liaquat Hossain, Shahriar Tanvir Hasan Murshed, Shahadat Uddin
Communication network dynamics during organizational crisis. J. Informetrics 7 (1) (2013)
Kon Shing Kenneth Chung, Piraveenan Mahendra, Shahadat Uddin
Community Evolution and Engagement through Assortative Mixing in Online Social Networks. ASONAM (2012)
Piraveenan Mahendra, Shahadat Uddin, Kon Shing Kenneth Chung
Measuring Topological Robustness of Networks under Sustained Targeted Attacks. ASONAM (2012)
Shahadat Uddin, Kon Shing Kenneth Chung, Mahendra Piraveenan
Capturing Actor-level Dynamics of Longitudinal Networks. ASONAM (2012)
Shahadat Uddin, Liaquat Hossain, Alireza Abbasi, Kim J. R. Rasmussen
Trend and efficiency analysis of co-authorship network. Scientometrics 90 (2) (2012)
Shahadat Uddin, Simon Reay Atkinson, Liaquat Hossain
New Directions in the Analysis of Social Network Dynamics. KDIR (2012)
Shahadat Uddin, Liaquat Hossain
Time Scale Degree Centrality: A Time-Variant Approach to Degree Centrality Measures. ASONAM (2011)
Jafar Hamra, Shahadat Uddin, Liaquat Hossain
Exponential random graph modeling of communication networks to understand organizational crisis. CPR (2011)
Shahadat Uddin, Liaquat Hossain, Shahriar Tanvir Hasan Murshed, John W. Crawford
Static versus dynamic topology of complex communications network during organizational crisis. Complex. 16 (5) (2011)
Liaquat Hossain, S. Khalili, Shahadat Uddin
Inter-Organizational Coordination Dynamics during Crisis. J. Decis. Syst. 20 (4) (2011)
Alireza Abbasi, Liaquat Hossain, Shahadat Uddin, Kim J. R. Rasmussen
Evolutionary dynamics of scientific collaboration networks: multi-levels and cross-time analysis. Scientometrics 89 (2) (2011)
Alireza Abbasi, Liaquat Hossain, Shahadat Uddin, Kim J. R. Rasmussen
Evolutionary Dynamics of Scientific Collaboration Networks: Multi-Levels and Cross-time Analysis CoRR (2011)
Shahriar Tanvir Hasan Murshed, Shahadat Uddin, Liaquat Hossain
Understanding Communication Network Cohesiveness during Organizational Crisis: Effects of Clique and Transitivity. ICIS (2010)