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All Journal Humanika : Kajian Ilmiah Mata Kuliah Umum LIBRARIA Masyarakat, Kebudayaan dan Politik Martabe : Jurnal Pengabdian Kepada Masyarakat Fair Value: Jurnal Ilmiah Akuntansi dan Keuangan JURNAL GOVERNANSI Building of Informatics, Technology and Science MUKADIMAH: Jurnal Pendidikan, Sejarah, dan Ilmu-ilmu Sosial Journal of Soft Computing Exploration Bidik : Jurnal Pengabdian kepada Masyarakat Malcom: Indonesian Journal of Machine Learning and Computer Science Pustakaloka: Jurnal Kajian Informasi dan Perpustakaan Madania: Jurnal Kajian Keislaman
Margono, Hendro
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Religion Agriculture, Biological Sciences & Forestry Arts Humanities Computer Science & IT Economics, Econometrics & Finance Education Languange, Linguistic, Communication & Media Library & Information Science Social Sciences

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Journal : Building of Informatics, Technology and Science

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Application of Machine Learning for Dementia Classification through MRI Images using Vertex AI on Google Cloud Services Rinanda, Tiara Disti; Arief Suyoso, Aldo Lovely; Margono, Hendro
Building of Informatics, Technology and Science (BITS) Vol 6 No 3 (2024): December 2024
Publisher : Forum Kerjasama Pendidikan Tinggi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/bits.v6i3.6040

Abstract

Alzheimer's dementia remains a serious global health challenge, particularly in resource-limited countries where early and accurate diagnosis is crucial to reducing morbidity and mortality rates. Despite advances in medical imaging and diagnostic tools, early detection of Alzheimer’s remains a complex and resource-intensive task for healthcare systems worldwide. This study leverages the power of machine learning, specifically Convolutional Neural Networks (CNN), to develop a reliable model for detecting the severity of dementia using brain MRI images. The dataset used consists of four main categories: Non-Demented, Very Mild Demented, Mild Demented, and Moderate Demented, with a total of 1,561 images obtained from Kaggle. The model was trained using Vertex AI on Google Cloud, which automatically optimized model parameters through AutoML and Hyperparameter Tuning. Techniques such as image segmentation and feature extraction were applied to enhance model accuracy. The results show that this CNN model achieved a precision rate of 93.5% for the Non-Demented category, with classification accuracy consistently between 92% and 93% for various other levels of dementia severity. These findings underscore the potential of machine learning, particularly CNN, in significantly improving dementia detection accuracy even in resource-constrained settings. By utilizing advanced techniques such as image segmentation, feature extraction, and CNN-based automated classification, this model offers a promising solution for real-time dementia diagnosis. The scalability and adaptability of the model built using Vertex AI allow for broader applications in global clinical scenarios, supporting public health efforts to reduce the burden of Alzheimer's disease. While challenges regarding data sensitivity and computational resources are acknowledged, the model’s potential to improve early diagnosis and patient outcomes is highly significant.
Co-Authors Adriansyah, Muhammad Ali Anastasya, Diva Berta Arief Suyoso, Aldo Lovely Bastian, Devi Cahyani, Retno Tri Dama Putri, Kania Faiza, Nova Auliatul Fauziah, Salsa Fitri Mutia, Fitri Gunarti, Endang Halim, Yunus Abdul Hariani, Nurul Jamila Hary Supriyatno Imam Yuadi Inriani, Sefania Wenny Eka Julian, Antoni Khithobi, Arya Teges Koko Srimulyo Lestari, Santi Dwi Desy Maulidah, Nofiyah Niken Ayu Pratiwi, Bertha Prasetyo Yuwinanto, Helmy Prasyesti Kurniasari, Meinia Putra, Yudistira Ardi Nugraha Setyawan Ragil Tri Atmi, Ragil Tri Rahma, Nadhifia Shabrina Nur Rasyid, Rizka Adristi Rifa, Syafira Dila Rinanda, Tiara Disti Rosyani, Widha Seger Handoyo Setiadi, Yusuf Setiyarini, Melina Dewi Soegiono, Agie Nugroho Soesantari, Tri Sugihartati, Rahma Suharbi, Muhammad Akbar Tondang, Edoardo Tri Atmi, Ragil Vivia Adriyanti, Elvetta Windrasari, Shella Norma Yuwinanto, Helmy Prasetyo