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Kingsley Friday Attai

Observed names: Attai, Kingsley, Attai, Kingsley; Amannejad, Yasaman; Vahdat Pour, Maryam; Obot, Okure; Uzoka, Faith-Michael;, K. F. Attai, Kingsley Attai, Kingsley F. Attai
Observed institutions: University College Hospital, Ibadan, University of Uyo, University of Uyo Teaching Hospital, Ignatius Ajuru University of Education, University of the West of Scotland, Mount Royal University
ORCID: 0000-0002-2199-5049
Observed ORCID: 0000-0002-2199-5049
OpenAlex ID: A5050860658
Enhancing the Interpretability of Malaria and Typhoid Diagnosis with Explainable AI and Large Language Models
2024 · Kingsley Attai, Moses Ekpenyong, et al. · Tropical Medicine and Infectious Disease · 27
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A Systematic Review of Applications of Machine Learning and Other Soft Computing Techniques for the Diagnosis of Tropical Diseases
2022 · Kingsley Attai, Yasaman Amannejad, et al. · Tropical Medicine and Infectious Disease · 23
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Adoption and utilization of medical decision support systems in the diagnosis of febrile Diseases: A systematic literature review
2023 · Nayab Khan, Chinyere Nwafor Okoli, et al. · Expert Systems with Applications · 17
Optimized channel allocation in emerging mobile cellular networks
2020 · Daniel Asuquo, Moses Ekpenyong, et al. · Soft Computing · 12
Febrile disease modeling and diagnosis system for optimizing medical decisions in resource-scarce settings
2024 · Daniel Asuquo, Kingsley Attai, et al. · Clinical eHealth · 10
A Machine Learning Framework for Length of Stay Minimization in Healthcare Emergency Department
2023 · Daniel Asuquo, Imeh Umoren, et al. · Studies in Engineering and Technology · 10
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Modelling Differential Diagnosis of Febrile Diseases with Fuzzy Cognitive Map
2023 · Okure Obot, Anietie John, et al. · Tropical Medicine and Infectious Disease · 9
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A Data-Driven Intelligent Methodology for Developing Explainable Diagnostic Model for Febrile Diseases
2025 · Constance Amannah, Kingsley Friday Attai, et al. · Algorithms · 8
Developing an Explainable Artificial Intelligence System for the Mobile-Based Diagnosis of Febrile Diseases Using Random Forest, LIME, and GPT
2025 · Kingsley F. Attai, Constance Amannah, et al. · Healthcare Informatics Research · 7
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Explainable AI modelling of Comorbidity in Pregnant Women and Children with Tropical Febrile Conditions
2023 · Kingsley Attai, Christie Akwaowo, et al. · 6
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The Use of Machine Learning in Oil Well Petrophysics and Original Oil in Place Estimation: A Systematic Literature Review Approach
2023 · Ekemini Johnson, Okure Obot, et al. · Journal of Engineering Research and Reports · 6
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A Spatio-GraphNet Model for Real-time Contact Tracing of CoVID-19 Infection in Resource Limited Settings
2020 · Moses Ekpenyong, Ifiok Udo, et al. · International Conference on Medical and Health Informatics (ICMHI) · 6
Predicting Predisposition to Tropical Diseases in Female Adults Using Risk Factors: An Explainable-Machine Learning Approach
2025 · Kingsley Friday Attai, Constance Amannah, et al. · Information · 5
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Sentiment Analysis of Twitter Discourse on the 2023 Nigerian General Elections
2024 · Kingsley Attai, Daniel Asuquo, et al. · European Journal of Computer Science and Information Technology · 5
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User Experience Measurement
2020 · Oryina Kingsley Akputu, Kingsley Friday Attai · Advances in business information systems and analytics book series · 5
Hybrid intelligent system for channel allocation and packet transmission in CR-IoT networks
2024 · Daniel E. Asuquo, Uduak A. Umoh, et al. · International Journal of Hybrid Intelligent Systems · 4
Multi-criteria decision analysis method for differential diagnosis of tropical febrile diseases
2024 · Daniel E. Asuquo, Kingsley F. Attai, et al. · Health Informatics Journal · 4
Sentiment Analysis of Electronic Word of Mouth (E-WoM) on E-Learning
2024 · Okure Udo Obot, Kingsley Friday Attai, et al. · Advances in information quality and management · 3
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Aspect-Based Sentiment Classification of Online Product Reviews Using Hybrid Lexicon-Machine Learning Approach
2024 · Daniel Asuquo, Kingsley Attai, et al. · Communications in computer and information science · 3
Comparative Analysis of Machine Learning Classifiers for Yellow Fever Diagnosis Using Causative Data: Evaluating Naïve Bayes, KNN, RIPPER, and PART
2025 · Said Baadel, Kingsley Attai, et al. · Communications in computer and information science · 2
Development of a Mobile App Diagnostic System for Tropical Febrile Diseases
2023 · Okure Obot, Daniel Asuquo, et al. · 2
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Lessons learned on data collection for a digital health intervention—insights and challenges from Nigeria
2023 · Edidiong Umoh, Chimaobi Isiguzo, et al. · SAGE Open Medicine · 2
Integrating Knowledge-Driven and Data-Driven Methodologies for an Efficient Clinical Decision Support System
2022 · Okure Udo Obot, Kingsley Friday Attai, et al. · Advances in medical technologies and clinical practice book series · 2
The suitability of similarity measures to the grading of short answers in examination
2021 · Okure U. Obot, Samuel S. Udoh, et al. · International Journal of Quantitative Research in Education · 2
The suitability of similarity measures to the grading of short answers in examination
2021 · Okure U. Obot, Samuel S. Udoh, et al. · International Journal of Quantitative Research in Education · 2
Works count: 54
Citation count: 189
H-index: 8
I10-index: 6
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