Uncertainty quantification in nanowire growth modeling - A precursor to quality semiconductor nanomanufacturing. - Chinedu I. Ossai; Xuechu Xu; Qing Yang 019; Nagarajan Raghavan (Microelectron. Reliab., 2017)

A Data-Driven Machine Learning Approach for Corrosion Risk Assessment - A Comparative Study. - Chinedu I. Ossai (Big Data Cogn. Comput., 2019)

Remaining useful life estimation for repairable multi-state components subjected to multiple maintenance actions. - Chinedu I. Ossai (Reliab. Eng. Syst. Saf., 2019)

Anomaly Detection and Extra Tree Regression for Assessment of the Remaining Useful Life of Lithium-Ion Battery. - Chinedu I. Ossai; Ifeanyi P. Egwutuoha (AINA, 2020)

Predicting Fall Risks Vulnerability with Inpatient Data in Acute Care Hospitalization. - Chinedu I. Ossai; Louise O'Connor; Nilmini Wickramasinghe (AMCIS, 2020)

An Assessment of Medication Therapy and Readmission of Comorbid Diabetic Patients. - Chinedu I. Ossai; Nilmini Wickramasinghe (AMCIS, 2020)

Real-time Inpatients Risk Profiling in Acute Care: A Comparative Study of Falls and Pressure Injuries Vulnerabilities. - Chinedu I. Ossai; Louise O'Connor; Nilmini Wickramasinghe (Bled eConference, 2020)

Intelligent therapeutic decision support for 30 days readmission of diabetic patients with different comorbidities. - Chinedu I. Ossai; Nilmini Wickramasinghe (J. Biomed. Informatics, 2020)

A Bayesian Network Model to Establish a Digital Twin Architecture for Superior Falls Risk Prediction. - Chinedu I. Ossai; Nilmini Wickramasinghe (AMCIS, 2021)

Crowdsourcing Users' Comments for Clinical and Operational Features Analysis of Diabetes Mobile Apps. - Chinedu I. Ossai; Nilmini Wickramasinghe (HICSS, 2021)

Intelligent decision support with machine learning for efficient management of mechanical ventilation in the intensive care unit - A critical overview. - Chinedu I. Ossai; Nilmini Wickramasinghe (Int. J. Medical Informatics, 2021)

Real-time state-of-health monitoring of lithium-ion battery with anomaly detection, Levenberg-Marquardt algorithm, and multiphase exponential regression model. - Chinedu I. Ossai; Ifeanyi P. Egwutuoha (Neural Comput. Appl., 2021)

Data-driven Decision Support for 30-day Unplanned Readmission Risks of Comorbid Patients with Diabetes - An Action Design Research Paradigm. - Chinedu I. Ossai; Nilmini Wickramasinghe (AMCIS, 2022)

Extended Length of Hospital Stay for Surgical and Medical Patients - Insights from Hospital and Psychosocial Predictors. - Chinedu I. Ossai; Nilmini Wickramasinghe (HICSS, 2022)

GLCM and statistical features extraction technique with Extra-Tree Classifier in Macular Oedema risk diagnosis. - Chinedu I. Ossai; Nilmini Wickramasinghe (Biomed. Signal Process. Control., 2022)

Crowdsourcing Operational and Design Flaws of Diabetes Mobile Apps. - Chinedu I. Ossai; Nilmini Wickramasinghe (J. Medical Syst., 2022)

Extended Length of Hospital Stay in Orthopaedic Surgery - Frequency, Severity, and Risk Factors Associated with Different Treatment Procedures. - Chinedu I. Ossai; David Rankin; Nilmini Wickramasinghe (HICSS, 2023)

Sentiments prediction and thematic analysis for diabetes mobile apps using Embedded Deep Neural Networks and Latent Dirichlet Allocation. - Chinedu I. Ossai; Nilmini Wickramasinghe (Artif. Intell. Medicine, 2023)

The role of AI for developing digital twins in healthcare: The case of cancer care. - Rohit Kaul; Chinedu I. Ossai; Abdur Rahim Mohammad Forkan; Prem Prakash Jayaraman; John Zelcer; Stephen Vaughan; Nilmini Wickramasinghe (WIREs Data Mining Knowl. Discov., 2023)