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2023
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A machine learning approach to explore individual risk factors for tuberculosis treatment non-adherence in Mukono district
PLOS Global Public Health,
2023
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Clinical Pathways and Hierarchical Clustering for Tuberculosis Treatment Outcome Prediction
Procedia Computer Science,
2023
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Proceedings of Emerging Trends and Technologies on Intelligent Systems
Advances in Intelligent Systems and Computing,
2023
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Benchmarking Machine Learning Models to Assist in the Prognosis of Tuberculosis
Informatics,
2021
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The impact of oversampling with “ubSMOTE” on the performance of machine learning classifiers in prediction of catastrophic health expenditures
Operations Research for Health Care,
2020
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Bayesian Spatial Survival Analysis of Duration to Cure among New Smear-Positive Pulmonary Tuberculosis (PTB) Patients in Iran, during 2011–2018
International Journal of Environmental Research and Public Health,
2020
DOI:10.3390/ijerph18010054
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Operations Research for Health Care,
2020
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Learning to Prescribe Interventions for Tuberculosis Patients Using Digital Adherence Data
Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining,
2019
DOI:10.1145/3292500.3330777
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Prediction of Coronary Heart Disease using Machine Learning
Proceedings of the 2019 3rd International Conference on Deep Learning Technologies,
2019
DOI:10.1145/3342999.3343015
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Prediction of Coronary Heart Disease using Machine Learning
Proceedings of the 2019 3rd International Conference on Deep Learning Technologies,
2019
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[12]
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Learning to Prescribe Interventions for Tuberculosis Patients Using Digital Adherence Data
Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining,
2019
DOI:10.1145/3292500.3330777
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