activity
20172019
most citedObservational Data-Driven Modeling and Optimization of Manufacturing Processes

75 citations · 159 across the 5 of their papers we have counts for

collaborators

5 papers

cs.LG2019

Representation Learning with Autoencoders for Electronic Health Records: A Comparative Study

Najibesadat Sadati, Milad Zafar Nezhad, Ratna Babu Chinnam +1

Increasing volume of Electronic Health Records (EHR) in recent years provides great opportunities for data scientists to collaborate on different aspects of healthcare research by…

cs.LG2018★ 63 cited

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…

cs.LG2018★ 8 cited

Representation Learning with Autoencoders for Electronic Health Records: A Comparative Study

Najibesadat Sadati, Milad Zafar Nezhad, Ratna Babu Chinnam +1

Increasing volume of Electronic Health Records (EHR) in recent years provides great opportunities for data scientists to collaborate on different aspects of healthcare research by…

cs.LG2017★ 13 cited

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…

math.OC2017★ 75 cited

Observational Data-Driven Modeling and Optimization of Manufacturing Processes

Najibesadat Sadati, Ratna Babu Chinnam, Milad Zafar Nezhad

The dramatic increase of observational data across industries provides unparalleled opportunities for data-driven decision making and management, including the manufacturing indust…