averroes Averroes: Journal for Science and Religious Studies averroes Yayasan Insan Cendekia Nusantara ID https://issn.brin.go.id/terbit/detail/20240131061601919 3032-6346 219 Articles Clinical Decision Support Systems for Dementia Management Using Predictive Analytics and Explainable Ai https://orcid.org/0000-0002-8910-2876 Moses Adeolu Agoi agoi4moses@gmail.com Gbenga Oyewole Ogunsanwo ogunsanwogo@gmail.com Bamidele Olumuyiwa Alaba alababo@gmail.com Maulana Asep Surya asep.suraya.maulana@uingusdur.ac.id Lagos State University of Education https://ror.org/04bs4rc32 Tai Solarin University of Education https://ror.org/05adhha17 Universitas Islam Negeri K.H. Abdurrahman Wahid Received: 1992025 Clinical Decision Support Systems Dementia Management Explainable Artificial Intelligence Predictive Analytics production-ready-file-url Arbabshirani, Mohammad R., Sergey Plis, Jing Sui, dan Vince D. Calhoun. 2017. “Single Subject Prediction of Brain Disorders in Neuroimaging: Promises and Pitfalls.” NeuroImage 145:137–65. doi:10.1016/j.neuroimage.2016.02.079. Bhandarkar, Anish, Pratham Naik, Kavita Vakkund, Srasthi Junjappanavar, Savita Bakare, dan Santosh Pattar. 2024. “Deep Learning Based Computer Aided Diagnosis of Alzheimer’s Disease: A Snapshot of Last 5 Years, Gaps, and Future Directions.” Artificial Intelligence Review 57(2):30. doi:10.1007/s10462-023-10644-8. Choi, Edward, Mohammad Taha Bahadori, Jimeng Sun, Joshua Kulas, Andy Schuetz, dan Walter Stewart. 2016. “RETAIN: An Interpretable Predictive Model for Healthcare using Reverse Time Attention Mechanism.” dalam Advances in Neural Information Processing Systems. Vol. 29. Curran Associates, Inc. Clinical Decision Support (CDS) | Digital Healthcare Research. t.t. Diambil 10 Maret 2026. https://digital.ahrq.gov/health-it-tools-and-resources/clinical-decision-support-cds. Holzinger, Andreas, Georg Langs, Helmut Denk, Kurt Zatloukal, dan Heimo Müller. 2019. “Causability and Explainability of Artificial Intelligence in Medicine.” WIREs Data Mining and Knowledge Discovery 9(4):e1312. doi:10.1002/widm.1312. International, Alzheimer’s Disease. 2023. “World Alzheimer Report 2023: Reducing Dementia Risk: Never Too Early, Never Too Late.” https://www.alzint.org/resource/world-alzheimer-report-2023/. Jo, Taeho, Kwangsik Nho, dan Andrew J. Saykin. 2019. “Deep Learning in Alzheimer’s Disease: Diagnostic Classification and Prognostic Prediction Using Neuroimaging Data.” Frontiers in Aging Neuroscience 11. doi:10.3389/fnagi.2019.00220. Lundberg, Scott, dan Su-In Lee. 2017. “A Unified Approach to Interpreting Model Predictions.” Mehrabi, Ninareh, Fred Morstatter, Nripsuta Saxena, Kristina Lerman, dan Aram Galstyan. 2022. “A Survey on Bias and Fairness in Machine Learning.” ACM Computing Surveys 54(6):1–35. doi:10.1145/3457607. Mohsen, Saeed. 2025. “Alzheimer’s Disease Detection Using Deep Learning and Machine Learning: A Review.” Artificial Intelligence Review 58(9):262. doi:10.1007/s10462-025-11258-y. Nguyen, Minh, Tong He, Lijun An, Daniel C. Alexander, Jiashi Feng, dan B. T. Thomas Yeo. 2020. “Predicting Alzheimer’s Disease Progression Using Deep Recurrent Neural Networks.” NeuroImage 222:117203. doi:10.1016/j.neuroimage.2020.117203. Sendak, Mark P., William Ratliff, Dina Sarro, Elizabeth Alderton, Joseph Futoma, Michael Gao, Marshall Nichols, Mike Revoir, Faraz Yashar, Corinne Miller, Kelly Kester, Sahil Sandhu, Kristin Corey, Nathan Brajer, Christelle Tan, Anthony Lin, Tres Brown, Susan Engelbosch, Kevin Anstrom, Madeleine Clare Elish, Katherine Heller, Rebecca Donohoe, Jason Theiling, Eric Poon, Suresh Balu, Armando Bedoya, dan Cara O’Brien. 2020. “Real-World Integration of a Sepsis Deep Learning Technology Into Routine Clinical Care: Implementation Study.” JMIR Medical Informatics 8(7):e15182. doi:10.2196/15182. Sutton, Reed T., David Pincock, Daniel C. Baumgart, Daniel C. Sadowski, Richard N. Fedorak, dan Karen I. Kroeker. 2020. “An Overview of Clinical Decision Support Systems: Benefits, Risks, and Strategies for Success.” Npj Digital Medicine 3(1):17. doi:10.1038/s41746-020-0221-y. Tonekaboni, Sana, Shalmali Joshi, Melissa D. McCradden, dan Anna Goldenberg. 2019. “What Clinicians Want: Contextualizing Explainable Machine Learning for Clinical End Use.” UNESCO. 2021. “Recommendation on the Ethics of Artificial Intelligence.” Wang, Tingyan, Robin G. Qiu, dan Ming Yu. 2018. “Predictive Modeling of the Progression of Alzheimer’s Disease with Recurrent Neural Networks.” Scientific Reports 8(1):9161. doi:10.1038/s41598-018-27337-w. World Health Organization. 2023. “Dementia: Key Facts.”