‪Seyedhouman Seyedekrami‬ - ‪Google Scholar‬

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Cited by

	All	Since 2019
Citations	40	40
h-index	3	3
i10-index	2	2

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16

8

202020212022202320241 7 7 15 10

Co-authors

Nima SafaeiThe University of Illinois Urbana-ChampaignVerified email at illinois.edu
Babak SafaeiDeGroote School of Business, McMaster UniversityVerified email at mcmaster.ca
Arezoo MasoudEngineer Data ScientistVerified email at uiowa.edu
Mahdi MoqriResearch Fellow in Aging at Harvard and StanfordVerified email at stanford.edu

Seyedhouman Seyedekrami

Seyedhouman Seyedekrami

University of Nevada, Reno

Verified email at art.edu - Homepage

Machine Learning


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E-CatBoost: An efficient machine learning framework for predicting ICU mortality using the eICU Collaborative Research Database N Safaei, B Safaei, S Seyedekrami, M Talafidaryani, A Masoud, S Wang, ... PloS one 17 (5), e0262895, 2022	24	2022
Weighing criteria and prioritizing strategies to reduce motorcycle-related injuries using combination of fuzzy TOPSIS and AHP methods. B Safaei, N Safaei, A Masoud, S Seyedekrami Advances in transportation studies 54, 2021	10	2021
Studying the risks and factors contributing to motorcycle crashes, and prioritizing strategies to reduce fatalities, and improve community health B Safaei, NSAMS Seyedekrami	6	2021

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Articles 1–3