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Chinedu I. Ossai
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2020 – today
- 2023
- [j10]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: 102509 (2023) - [j9]Rohit Kaul
The role of AI for developing digital twins in healthcare: The case of cancer care. WIREs Data Mining Knowl. Discov. 13(1) (2023) - [c9]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: 3165-3174 - 2022
- [j8]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: 103471 (2022) - [j7]Chinedu I. Ossai
Crowdsourcing Operational and Design Flaws of Diabetes Mobile Apps. J. Medical Syst. 46(12): 101 (2022) - [c8]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 - [c7]Chinedu I. Ossai, Nilmini Wickramasinghe:
Extended Length of Hospital Stay for Surgical and Medical Patients - Insights from Hospital and Psychosocial Predictors. HICSS 2022: 1-10 - 2021
- [j6]Chinedu I. Ossai
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: 104469 (2021) - [j5]Chinedu I. Ossai
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): 1193-1206 (2021) - [c6]Chinedu I. Ossai, Nilmini Wickramasinghe:
A Bayesian Network Model to Establish a Digital Twin Architecture for Superior Falls Risk Prediction. AMCIS 2021 - [c5]Chinedu I. Ossai, Nilmini Wickramasinghe:
Crowdsourcing Users' Comments for Clinical and Operational Features Analysis of Diabetes Mobile Apps. HICSS 2021: 1-10 - 2020
- [j4]Chinedu I. Ossai
Intelligent therapeutic decision support for 30 days readmission of diabetic patients with different comorbidities. J. Biomed. Informatics 107: 103486 (2020) - [c4]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: 1474-1488 - [c3]Chinedu I. Ossai, Louise O'Connor, Nilmini Wickramasinghe:
Predicting Fall Risks Vulnerability with Inpatient Data in Acute Care Hospitalization. AMCIS 2020 - [c2]Chinedu I. Ossai, Nilmini Wickramasinghe:
An Assessment of Medication Therapy and Readmission of Comorbid Diabetic Patients. AMCIS 2020 - [c1]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: 40
2010 – 2019
- 2019
- [j3]Chinedu I. Ossai
A Data-Driven Machine Learning Approach for Corrosion Risk Assessment - A Comparative Study. Big Data Cogn. Comput. 3(2): 28 (2019) - [j2]Chinedu I. Ossai:
Remaining useful life estimation for repairable multi-state components subjected to multiple maintenance actions. Reliab. Eng. Syst. Saf. 182: 142-151 (2019) - 2017
- [j1]Chinedu I. Ossai
Uncertainty quantification in nanowire growth modeling - A precursor to quality semiconductor nanomanufacturing. Microelectron. Reliab. 76-77: 106-111 (2017)
Coauthor Index
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