kiyana zolfaghar
kiyana zolfaghar
Data Scientist, Microsoft
Verified email at
Cited by
Cited by
Estimating customer lifetime value based on RFM analysis of customer purchase behavior: Case study
M Khajvand, K Zolfaghar, S Ashoori, S Alizadeh
Procedia Computer Science 3, 57-63, 2011
Big data solutions for predicting risk-of-readmission for congestive heart failure patients
K Zolfaghar, N Meadem, A Teredesai, SB Roy, SC Chin, B Muckian
2013 IEEE international conference on big data, 64-71, 2013
A syntactical approach for interpersonal trust prediction in social web applications: Combining contextual and structural data
K Zolfaghar, A Aghaie
Knowledge-Based Systems 26, 93-102, 2012
Mining trust and distrust relationships in social web applications
K Zolfaghar, A Aghaie
Proceedings of the 2010 IEEE 6th International Conference on Intelligent …, 2010
Dynamic hierarchical classification for patient risk-of-readmission
S Basu Roy, A Teredesai, K Zolfaghar, R Liu, D Hazel, S Newman, ...
Proceedings of the 21th ACM SIGKDD international conference on knowledge …, 2015
Evolution of trust networks in social web applications using supervised learning
K Zolfaghar, A Aghaie
Procedia Computer Science 3, 833-839, 2011
Risk-o-meter: an intelligent clinical risk calculator
K Zolfaghar, J Agarwal, D Sistla, SC Chin, S Basu Roy, N Verbiest
Proceedings of the 19th ACM SIGKDD international conference on Knowledge …, 2013
Exploring preprocessing techniques for prediction of risk of readmission for congestive heart failure patients
N Meadem, N Verbiest, K Zolfaghar, J Agarwal, SC Chin, SB Roy
Data mining and healthcare (DMH), at international conference on knowledge …, 2013
Predicting risk-of-readmission for congestive heart failure patients: A multi-layer approach
K Zolfaghar, N Verbiest, J Agarwal, N Meadem, SC Chin, SB Roy, ...
arXiv preprint arXiv:1306.2094, 2013
Securing Bluetooth-based payment system using honeypot
K Zolfaghar, S Mohammadi
2009 international conference on innovations in information technology (IIT …, 2009
User acceptance of location-based mobile advertising: an empirical study in Iran
K Zolfaghar, F Khoshalhan, M Rabiei
International Journal of E-Adoption (IJEA) 2 (2), 35-47, 2010
Pathway-finder: An interactive recommender system for supporting personalized care pathways
R Liu, RV Srinivasan, K Zolfaghar, SC Chin, SB Roy, A Hasan, D Hazel
2014 IEEE International Conference on Data Mining Workshop, 1219-1222, 2014
Death vs. data science: predicting end of life
M Ahmad, C Eckert, G McKelvey, K Zolfagar, A Zahid, A Teredesai
Proceedings of the AAAI Conference on Artificial Intelligence 32 (1), 2018
A framework to recommend interventions for 30-day heart failure readmission risk
R Liu, K Zolfaghar, SC Chin, SB Roy, A Teredesai
2014 IEEE International Conference on Data Mining, 911-916, 2014
Exploring preprocessing techniques for prediction of risk of readmission for congestive heart failure patients
K Zolfaghar, N Meadem, D Sistla, SC Chin, SB Roy, N Verbiest, ...
Data Mining and Healthcare Workshop, 2013
A framework for cyber war against international terrorism
A Barfar, K Zolfaghar, S Mohammadi
International Journal of Internet Technology and Secured Transactions 3 (1 …, 2011
SC Chin, K Zolfaghar, SB Roy, A Teredesai, P Amoroso
Proceedings of the International Joint Conference on Biomedical Engineering …, 2014
A framework for online counter terrorism
K Zolfaghar, A Barfar, S Mohammadi
2009 International Conference for Internet Technology and Secured …, 2009
S45 predicting likelihood of emergency department admission prior to triage: utilising machine learning within a COPD cohort
C Eckert, M Ahmad, K Zolfaghar, G McKelvey, C Carlin, D Lowe
Thorax 73 (Suppl 4), A28-A28, 2018
12 predicting patients at risk for leaving without being seen using machine learning
P Casey, K Zolfaghar, C Eckert, L Waters, H Sonntag, T McKelvey, ...
Annals of Emergency Medicine 72 (4), S5-S6, 2018
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