Publications

Vincent Peter C. Magboo, Ma. Sheila A. Magboo (2022). Prediction of Late Intrauterine Growth Restriction using Machine Learning Models. Procedia Computer Science.

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V.P.C. Magboo, M.S.A. Magboo (2022). Prediction Models for COVID-19 in Children. Smart Innovation, Systems and Technologies.

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V.P.C. Magboo, M.S.A. Magboo (2022). Important Features Associated with Depression Prediction and Explainable AI. Communications in Computer and Information Science.

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Ma. Sheila A. Magboo, Vincent Peter C. Magboo (2022). Feature Importance Measures as Explanation for Classification Applied to Hospital Readmission Prediction. Procedia Computer Science.

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M.S.A. Magboo, V.P.C. Magboo (2022). Explainable AI for Autism Classification in Children. Smart Innovation, Systems and Technologies.

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V.P.C. Magboo, Ma.S.A. Magboo (2021). Machine learning classifiers on breast cancer recurrences. Procedia Computer Science.

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V.P. Catimbang Magboo, M.S. Abad Magboo (2021). Imputation Techniques and Recursive Feature Elimination in Machine Learning Applied to Type II Diabetes Classification. ACM International Conference Proceeding Series.

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Kyra Mikaela M Lopez, Ma Sheila A Magboo (2020). A Clinical Decision Support Tool to Detect Invasive Ductal Carcinoma in Histopathological Images Using Support Vector Machines, Naı̈ve-Bayes, and K-Nearest Neighbor Classifiers.. MLIS.

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Ma Magboo, A Sheila, Andrei D Coronel (2019). Data mining electronic health records to support evidence-based clinical decisions. Innovation in Medicine and Healthcare Systems, and Multimedia.

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Jasmine A Malinao, Kristhian B Tiu, Louise Michelle O Lozano, Sonia M Pascua, Richard Bryann Chua, Ma Magboo, A Sheila, Jaime DL Caro (2013). A Metric for User Requirements Traceability in Sequence, Class Diagrams, and Lines-Of-Code via Robustness Diagrams. Theory and Practice of Computation.

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