Chinedu I. Ossai

Publication Activity (10 Years)

Years Active: 2017-2023
Publications (10 Years): 19

Top Topics

Prognostic Models

Diabetic Patients

Intensive Care Unit

Top Venues

Artif. Intell. Medicine

Biomed. Signal Process. Control.

Publications

Rohit Kaul, Chinedu I. Ossai, Abdur Rahim Mohammad Forkan, Prem Prakash Jayaraman, John Zelcer, Stephen Vaughan, Nilmini Wickramasinghe
The role of AI for developing digital twins in healthcare: The case of cancer care. WIREs Data Mining Knowl. Discov. 13 (1) (2023)
Chinedu I. Ossai, David Rankin, Nilmini Wickramasinghe
Extended Length of Hospital Stay in Orthopaedic Surgery - Frequency, Severity, and Risk Factors Associated with Different Treatment Procedures. HICSS (2023)
Chinedu I. Ossai, Nilmini Wickramasinghe
Sentiments prediction and thematic analysis for diabetes mobile apps using Embedded Deep Neural Networks and Latent Dirichlet Allocation. Artif. Intell. Medicine 138 (2023)
Chinedu I. Ossai, Nilmini Wickramasinghe
Data-driven Decision Support for 30-day Unplanned Readmission Risks of Comorbid Patients with Diabetes - An Action Design Research Paradigm. AMCIS (2022)
Chinedu I. Ossai, Nilmini Wickramasinghe
GLCM and statistical features extraction technique with Extra-Tree Classifier in Macular Oedema risk diagnosis. Biomed. Signal Process. Control. 73 (2022)
Chinedu I. Ossai, Nilmini Wickramasinghe
Crowdsourcing Operational and Design Flaws of Diabetes Mobile Apps. J. Medical Syst. 46 (12) (2022)
Chinedu I. Ossai, Nilmini Wickramasinghe
Extended Length of Hospital Stay for Surgical and Medical Patients - Insights from Hospital and Psychosocial Predictors. HICSS (2022)
Chinedu I. Ossai, Nilmini Wickramasinghe
Intelligent decision support with machine learning for efficient management of mechanical ventilation in the intensive care unit - A critical overview. Int. J. Medical Informatics 150 (2021)
Chinedu I. Ossai, Nilmini Wickramasinghe
A Bayesian Network Model to Establish a Digital Twin Architecture for Superior Falls Risk Prediction. AMCIS (2021)
Chinedu I. Ossai, Ifeanyi P. Egwutuoha
Real-time state-of-health monitoring of lithium-ion battery with anomaly detection, Levenberg-Marquardt algorithm, and multiphase exponential regression model. Neural Comput. Appl. 33 (4) (2021)
Chinedu I. Ossai, Nilmini Wickramasinghe
Crowdsourcing Users' Comments for Clinical and Operational Features Analysis of Diabetes Mobile Apps. HICSS (2021)
Chinedu I. Ossai, Louise O'Connor, Nilmini Wickramasinghe
Real-time Inpatients Risk Profiling in Acute Care: A Comparative Study of Falls and Pressure Injuries Vulnerabilities. Bled eConference (2020)
Chinedu I. Ossai, Louise O'Connor, Nilmini Wickramasinghe
Predicting Fall Risks Vulnerability with Inpatient Data in Acute Care Hospitalization. AMCIS (2020)
Chinedu I. Ossai, Nilmini Wickramasinghe
An Assessment of Medication Therapy and Readmission of Comorbid Diabetic Patients. AMCIS (2020)
Chinedu I. Ossai, Ifeanyi P. Egwutuoha
Anomaly Detection and Extra Tree Regression for Assessment of the Remaining Useful Life of Lithium-Ion Battery. AINA (2020)
Chinedu I. Ossai, Nilmini Wickramasinghe
Intelligent therapeutic decision support for 30 days readmission of diabetic patients with different comorbidities. J. Biomed. Informatics 107 (2020)
Chinedu I. Ossai
Remaining useful life estimation for repairable multi-state components subjected to multiple maintenance actions. Reliab. Eng. Syst. Saf. 182 (2019)
Chinedu I. Ossai
A Data-Driven Machine Learning Approach for Corrosion Risk Assessment - A Comparative Study. Big Data Cogn. Comput. 3 (2) (2019)
Chinedu I. Ossai, Xuechu Xu, Qing Yang, Nagarajan Raghavan
Uncertainty quantification in nanowire growth modeling - A precursor to quality semiconductor nanomanufacturing. Microelectron. Reliab. (2017)