C. Aguwa

发表

Identifying indicators influencing emergency department performance during a medical surge: A consensus-based modified fuzzy Delphi approach

S. Arslanturk, L. Monplaisir, Egbe-Etu Etu, 2022, PloS one.

A Comparison of Traditional & Modified Fuzzy Delphi in Identification of Metrics for ED Performance Associated with Medical Surges

L. Monplaisir, Egbe-Etu Etu, C. Aguwa, 2020 .

Acute coronary syndrome prediction in emergency care: A machine learning approach

S. Arslanturk, C. Aguwa, Joseph Miller, 2022, Comput. Methods Programs Biomed..

Manufacturing integrated learning laboratory (MILL): A framework for determination of core learning outcomes in engineering curricula

Kyoung-Yun Kim, Kyoung-Yun Kim, R. Darin Ellis, 2011 .

Prediction of Length of Stay in the Emergency Department for COVID-19 Patients: A Machine Learning Approach

S. Arslanturk, L. Monplaisir, C. Aguwa, 2022, IEEE Access.

Effect of Rating Modification on a Fuzzy-Based Modular Architecture for Medical Device Design and Development

Leslie Monplaisir, Celestine C. Aguwa, Prasanth A. Sylajakumari, 2012, Adv. Fuzzy Syst..

Voice of the customer: Customer satisfaction ratio based analysis

Ozgu Turgut, Leslie Monplaisir, Celestine C. Aguwa, 2012, Expert Syst. Appl..

Design for reusability of medical equipment for optimal modularization using an endoscope as case study

Ozgu Turgut, Leslie Monplaisir, Celestine Aguwa, 2019, Cogent Engineering.

Rules modification on a Fuzzy-based modular architecture for medical device design and development

Leslie Monplaisir, Celestine Aguwa, Prasanth Achuthamenon Sylajakumari, 2012 .

Modeling of fuzzy-based voice of customer for business decision analytics

Leslie Monplaisir, Mohammad Hessam Olya, Celestine C. Aguwa, 2017, Knowl. Based Syst..

The integration of core cleaning and product serviceability into product modularization for the creation of an improved remanufacturing-product service system

Leslie Monplaisir, Celestine Aguwa, Johnson Adebayo Fadeyi, 2017 .

33 Forecasting Daily Patient Arrivals during COVID-19 in Emergency Departments: A Deep Learning Approach

S. Arslanturk, L. Monplaisir, J. Miller, 2021, Annals of Emergency Medicine.

A hybrid machine learning and natural language processing model for early detection of acute coronary syndrome

C. Aguwa, Joseph Miller, J. Emakhu, 2023, Healthcare Analytics.

Manufacturing Integrated Learning Lab (Mill): A curriculum model for hands-on manufacturing education

Kyoung-Yun Kim, Y. Gene Liao, Shlomo S. Sawilowsky, 2011 .

AC2011-1573: MANUFACTURINGINTEGRATEDLEARNINGLAB(MILL): A CURRICULUM MODEL FOR HANDS-ON MANUFACTURING EDU- CATION

R. Darin Ellis, Celestine Aguwa, Mukasa E. Ssemakula, 2011 .