63 citations · 130 across the 7 of their papers we have counts for
7 papers
Multi-task Prediction of Patient Workload
Mohammad Hessam Olya, Dongxiao Zhu, Kai Yang
Developing reliable workload predictive models can affect many aspects of clinical decision making procedure. The primary challenge in healthcare systems is handling the demand unc…
A Deep Active Survival Analysis Approach for Precision Treatment Recommendations: Application of Prostate Cancer
Milad Zafar Nezhad, Najibesadat Sadati, Kai Yang +1
Survival analysis has been developed and applied in the number of areas including manufacturing, finance, economics and healthcare. In healthcare domain, usually clinical data are…
SUBIC: A Supervised Bi-Clustering Approach for Precision Medicine
Milad Zafar Nezhad, Dongxiao Zhu, Najibesadat Sadati +2
Traditional medicine typically applies one-size-fits-all treatment for the entire patient population whereas precision medicine develops tailored treatment schemes for different pa…
SAFS: A Deep Feature Selection Approach for Precision Medicine
Milad Zafar Nezhad, Dongxiao Zhu, Xiangrui Li +2
In this paper, we propose a new deep feature selection method based on deep architecture. Our method uses stacked auto-encoders for feature representation in higher-level abstracti…
Predicting patient risk of readmission with frailty models in the Department of Veteran Affairs
Saeede Ajorlou, Issac Shams, Kai Yang
Reducing potentially preventable readmissions has been identified as an important issue for decreasing Medicare costs and improving quality of care provided by hospitals. Based on…
Modeling clustered non-stationary Poisson processes for stochastic simulation inputs
Issac Shams, Saeede Ajorlou, Kai Yang
A validated simulation model primarily requires performing an appropriate input analysis mainly by determining the behavior of real-world processes using probability distributions.…