‪Parvez Rafi‬ - ‪Google Scholar‬

Get my own profile

Cited by

	All	Since 2019
Citations	52	51
h-index	2	2
i10-index	2	2

0

14

7

20182019202020212022202320241 8 5 9 13 14 2

Co-authors

Arash PakbinComputer Science and Engineering, Texas A&MVerified email at tamu.edu

Parvez Rafi

Parvez Rafi

Texas A&M University

Verified email at tamu.edu

Machine Learning


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
Prediction of ICU readmissions using data at patient discharge A Pakbin, P Rafi, N Hurley, W Schulz, MH Krumholz, JB Mortazavi 2018 40th annual international conference of the IEEE engineering in …, 2018	35	2018
Interpretable deep learning framework for predicting all-cause 30-day ICU readmissions P Rafi, A Pakbin, SK Pentyala Texas A&M University, 2018	17	2018
Design and Implementation of a Data Warehouse for a Retail Store with Store-level Data P Rafi, S Shetty
Predicting all-Cause 30-Day ICU Readmissions Using Robust Feature Selection A Pakbin, P Rafi, S Subedi

The system can't perform the operation now. Try again later.

Articles 1–4