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Isaac Simonian
Isaac Simonian
Research Fellow, University of Michigan
Verified email at umich.edu
Title
Cited by
Cited by
Year
A predictive analytics approach to reducing 30-day avoidable readmissions among patients with heart failure, acute myocardial infarction, pneumonia, or COPD
I Shams, S Ajorlou, K Yang
Health care management science 18, 19-34, 2015
1432015
Artificial bee colony algorithm for CONWIP production control system in a multi-product multi-machine manufacturing environment
S Ajorlou, I Shams
Journal of Intelligent Manufacturing 24, 1145-1156, 2013
462013
Optimization of a multiproduct conwip-based manufacturing system using artificial bee colony approach
S Ajorlou, I Shams, MG Aryanezhad
World Congress on Engineering 2012. July 4-6, 2012. London, UK. 2189, 1385-1388, 2010
252010
An analytics approach to designing patient centered medical homes
S Ajorlou, I Shams, K Yang
Health Care Management Science 18, 3-18, 2015
232015
Modeling clustered non-stationary Poisson processes for stochastic simulation inputs
I Shams, S Ajorlou, K Yang
Computers & Industrial Engineering 64 (4), 1074-1083, 2013
122013
A predictive analytics approach to reducing avoidable hospital readmission
I Shams, S Ajorlou, K Yang
arXiv preprint arXiv:1402.5991, 2014
72014
Analysis of nonhomogeneous input data using likelihood ratio test
I Shams, K Shahanaghi
2009 IEEE International Conference on Industrial Engineering and Engineering …, 2009
72009
A genetic algorithm approach for multi-product multi-machine CONWIP production system
S Ajorlou, I Shams, MG Aryanezhad
Applied Mechanics and Materials 110, 3624-3630, 2012
52012
A Patient Readmission Risk Prediction Model
I Shams, S Ajorlou, K Yang
IIE Annual Conference. Proceedings, 1757, 2013
32013
Bayesian component selection in multi-response hierarchical structured additive models with an application to clinical workload prediction in patient-centered medical homes
I Shams, S Ajorlou, K Yang
IIE Transactions 47 (9), 943-960, 2015
22015
Predicting patient risk of readmission with frailty models in the Department of Veteran Affairs
S Ajorlou, I Shams, K Yang
arXiv preprint arXiv:1403.1210, 2014
22014
A fast clustering algorithm for mining social network data
S Ajorlou, I Shams, K Yang
Lecture Notes in Engineering and Computer Science: Proceedings of The World …, 2014
22014
Estimating Multiple Step Shifts in a Gaussian Process Mean with an Application to Phase I Control Chart Analysis
I Shams, S Ajorlou, K Yang
arXiv preprint arXiv:1403.0668, 2014
22014
A multivariate hierarchical Bayesian framework for healthcare predictions with application to medical home study in the Department of Veteran Affairs
I Shams, S Ajorlou, K Yang
arXiv preprint arXiv:1403.0674, 2014
12014
On modeling nonhomogeneous Poisson process for stochastic simulation input analysis
I Shams, S Ajorlou, K Yang
arXiv preprint arXiv: 1402.7112, 2014
12014
Record linkage, a part of data cleaning, is recognized as one of most expensive steps in data warehousing. Most record linkage (RL) systems employ a strategy of using blocking …
S Ajorlou, I Shams, K Yang
Health Care Management Science 18 (1), 93-105, 2015
2015
Predicting patient risk of readmission with frailty models in the Department of Veteran Affairs
I Shams, S Ajorlou, K Yang
2014 IEEE International Conference on Automation Science and Engineering …, 2014
2014
An analytics appraoch to reducing hospital readmission
I Shams
Wayne State University, 2014
2014
Principles of Statistical Quality Control
I Shams, S Ajorlou
2010
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