Early-Stage Alzheimer’s Disease Prediction Using Machine Learning Models

Cited by (393)

Items 301–393 of 393

1. Utilizing Deep Learning Model to Identify Stages of Alzheimer’s Disease from MRI Images
   Nguyen Hoang Phuc Phan, Quang Linh Huynh · 2025 · World Congress on Medical Physics and Biomedical Engineering, September 7 - 12, 2009, Munich, Germany
2. Health Data Modeling Using Machine Learning Approaches
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3. Diagnosis of Alzheimer’s Disease Onset and Progression Using Deep Learning Techniques
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4. Communication and Rehabilitation Interface for Human Brain Disease
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   Feilan Chen, Hainan Deng, Qingyu Zhang, Yanmei Liu, Yujie Zhang, Yan Zhang, Dan Li, Xinling Meng · 2025 · Journal of Alzheimer s Disease
6. Enhancing Diagnostic Accuracy in Familial Alzheimer’s Disease Through Gene Expression Profiling and Optimized Machine Learning Algorithms
   R. Arun Dev, Jossy Paul George, Bosco Paul Alapatt, Riya Baby · 2025 · Lecture notes in networks and systems
7. Early Diagnosis of Alzheimer’s Disease Using Adversarial Techniques
   Mamta, Nitin Garla · 2025 · Information systems engineering and management
8. Alzheimer's Disease Auxiliary Diagnosis System with Enhanced Feature Fusion Based on RGT and LSTM
   Jin Zeng · 2025 · Guangdong-Hong Kong-Macao Greater Bay Area International Conference on Digital Economy and Artificial Intelligence (DEAI)
9. Enhancing Epilepsy Diagnosis: Performance Analysis of Machine Learning Ensemble Techniques
   Roger Jees Smith T, Sheryl Oliver A · 2025 · Global Conference in Emerging Technology (GINOTECH)
10. Machine Learning Approaches for Predicting Early-Stage Alzheimer's Disease
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11. Enhancing the Prediction and Classification Performance of Alzheimer Diseases Using Voting Rule of Ensemble Learning
    Iman Aljubouri, Mostafa Ragheb, Mohamad Hamady, Issa Kamar · 2025 · Lecture notes in networks and systems
12. NeuroVision-XNet: A Hybrid Vision Transformer Framework for Early Alzheimer’s Disease Prediction using Structural MRI
    U. Hemavathi, S. Durai · 2025 · International Conference on Sustainable Computing and Data Communication Systems (ICSCDS)
13. Alzheimer’s Disease Detection Using Machine Learning Techniques
    Aakash Majeed, Raj Kumar, Navpreet Kaur Walia · 2025 · Lecture notes in networks and systems
14. A Novel AI Approach for the Diagnosis of Alzheimer’s Disease from Multi-modal Incomplete Data
    Veronica Buttaro, G. Lamanna, Donato Massaro, Claudio Basilio Caporusso, Gianvito Pio, Michelangelo Ceci, Alzheimer’s Disease Neuroimaging Initiative · 2025 · Lecture notes in computer science
15. A Machine Learning-Based Approach for Predicting Alzheimer's Diseases Using Data Classification and Explainable Artificial Intelligence Techniques
    Hosam Farouk El-Sofany, Abd Elrahman H. El-Sofany, Abdelmoty M. Ahmed, Shanawaz Ahmed J., Belgacem Bouallègue · 2025 · Mitteilungen Klosterneuburg
16. A Multi-CNN Ensemble Method for Early Diagnosis of Alzheimer’s Disease Using MRI Imaging
    Ghata Mehta, Nitya Jani, Himanshu K. Gajera, Rajendra Choudhary · 2025 · International Conference on Artificial Intelligence and Machine Vision (AIMV)
17. A Blood-Based Transcriptomic Algorithm and Scoring System for Alzheimer’s Disease Detection
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18. Multiple Diseases Prediction Using Machine Learning
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19. Machine learning-derived biomarker cutoffs for Alzheimer’s disease: Validation and application in preclinical and prodromal phases
    Wei Wang, Shuangshuang Hou, Bo Wang, Di Sun, Hong Liu, Tan Zhao, Qi Wang, Shuo Xu, Tingting Li, Meina Quan · 2025 · iScience
20. Construction and verification of prediction model for Alzheimer’s disease in diabetic patients
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21. NeuroFusion: A Hybrid CNN and Cuckoo Search Model for Enhanced Alzheimer’s Disease Detection
    D. Roja Ramani, M. Lakshmi, Santhosh Krishna B V, B Chempavathy, S V Bhaskar, Soja Rani S · 2025 · International Conference on Intelligent Cyber Physical Systems and Internet of Things (ICoICI)
22. Applying Hybrid Machine Learning Models with Grid Search and Cross-Validation for Alzheimer's Disease Classification
    Ahmed A. Elngar, Amer M. Ibrahim, Bahaa El-din Helmy, Ola Farid · 2025 · International Conference on Business Analytics for Technology and Security (ICBATS)
23. Benchmarking Gaussian processes for prediction and data assimilation of Alzheimer's disease progression
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24. MobileNetV1-Inspired Deep Learning Framework for Early Detection and Staging of Alzheimer’s Disease Using MRI
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25. Enhancing Performance of Convolutional Neural Network Using Data Augmentation for Alzheimer's Disease Classification
    Rupali Ravindra Deshmukh, Pramodkumar H. Kulkarni, Chaitali Shamrao Raje · 2025 · International Conference on Computing Communication Control and automation
26. Early Detection of Alzheimer's Disease using Machine Learning and Deep Learning Techniques
    Aakash Majeed, Raj Kumar, Navpreet Kaur Walia · 2025 · IEEE International Conference on Advances in Computing Research on Science Engineering and Technology (ACROSET)
27. AI-Based Doctor Agent for Early Detection of Alzheimer's Applying Hybrid Machine-Learning Techniques
    Debasish Saha Roy, Subhodip Koley, Pronay Pal · 2025 · International Journal on Computational Engineering
28. Radiogenomic Bipartite Graph Representation Learning for Alzheimer’s Disease Detection
    Aditya Raj, Golrokh Mirzaei · 2026 · Lecture notes in computer science
29. Predicting Likelihood of Alzheimer’s Disease in Elderly Citizens Using Support Vector Networks
    Shambhavi Singh, Kaushiki Singh Chauhan, Aditya Kumar Singh, Tiansheng Yang, Bharati Rathore · 2026 · Lecture notes in networks and systems
30. Detection of Neurodegenerative Disorders
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31. Enhanced Ensemble Intelligent Recognition Model for Ocular Diseases Based on Deep Convolutional Neural Networks
    Wen‐Cheng Lai, P. Durgadevi, C.Kavitha, Sandhiya G K, Yuan-Sheng Lin, Yu-Ning Liu · 2025 · International Conference on Artificial Intelligence for Medicine, Health and Care (AIxMHC)
32. Analyzing unique feature for Early Diagnosis of Alzheimer Disease by Using Machine Learning
    Dhanshree Sanjay Madnaik, V. V. Kheradkar, S. S. Sangewar · 2025 · International Conference on Future Technologies (ICFT)
33. Early Detection of Dementia Using Machine Learning Algorithms
    Krishnavarthini K H, Madhu Preetha A, Dr. PREETHA EVANGELINE - · 2026 · International Journal For Multidisciplinary Research
34. A Comparison of Multi-Tier Feature Selection Techniques for Classifying Alzheimer's Disease
    Polaiah Bojja, Lakshdeep Singh, Pamula Raja Kumari · 2025 · International Conference on Communication, Computer, and Information Technology (IC3IT)
35. Learning Based Diagnosis of Alzheimer's Disease Using Genomic Data
    Bipin Bihari Jayasingh, Sumitra Mallick · 2025 · International Conference on Networks and Soft Computing (ICNSoC)
36. Detection of Alzheimer's Disease Using EfficientNet Family
    Thatikonda Radhika, Sridhar Chintala · 2025 · International Conference on Communication and Smart Devices (ICCoSD)
37. SmritiPunarmilan ( Text in Devanagari script reads "समत पनरमलन" which translates to "Memory Reunion" in English. ): Advancing Safety and Independence in Dementia Patient Navigation
    Pintaram M., Spoorthi M. S., Narendra Babu C. R, Vignesh P., Vidhya Ganesh A. · 2026 · Lecture notes in networks and systems
38. Perbandingan Algoritma CART Dan AdaBoost Pada Klasifikasi Demensia
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39. Smrithiraksha: A Review on Safety and Support for Dementia Patients’ Navigation
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40. Alzheimer’s disease detection using a quantum deep neural network with Haralick feature extraction and simulated annealing optimization
    S Sabari Vasan, Jayalakshmi P. · 2026 · PeerJ Computer Science
41. Leveraging Machine Learning for the Preclinical Detection of Alzheimer's Disease
    Alaa Mohamed Ahmed Mostafa, Khaled O. Abdulghani, Rowayda A. Sadek · 2025 · International Conference on Future Telecommunications and Artificial Intelligence (IC-FTAI)
42. Employing Capsule Neural Networks for the Detection of Alzheimer’s Disease
    S. K. Masthan, Srigadha Ajay, S. Vansika Reddy, N. S. S. S. Girish Kumar · 2026 · Communications in computer and information science
43. The Role of Machine Learning in Advancing Therapeutics for Alzheimer’s Disease: A Comprehensive Study
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44. AI with Insight: Explainable Approaches to Mental Health Screening and Diagnostic Tools in Healthcare
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45. An Explainable AI Approach to Alzheimer’s Prediction using Ensemble Methods on Imbalanced Data
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46. ARE-GAN: Adaptive Regression and ROI-Enhanced Generative Adversarial Network for Alzheimer Disease Progression Prediction
    U Bharathi, S. Chitrakala · 2026 · International Journal of Computational Intelligence Systems
47. Comparative Evaluation of Different Graph Models for Protein Disease Association Prediction
    Hansa J Thattil, Arun Kumar M N · 2025 · International Conference on Signal Processing, Computation, Electronics, Power and Telecommunication (IConSCEPT)
48. TSAFN: Temporal Spatial Attention Fusion Network of Alzheimer's Disease Classification in MRI
    Janarthan Vijayakumar, Vasavan M, Luxshi K · 2026 · International Conference on Advanced Research in Computing (ICARC)
49. Development of Alzheimer’s disease risk score for future integrated primary care: a white-box approach
    Yumiko Wiranto, Devin Setiawan, Amber S. Watts, Arian Ashourvan, the Alzheimer’s Disease Neuroimaging Initiative · 2026 · Frontiers in Aging Neuroscience
50. A Multi-Axis Vision Transformer (MaxViT) for Classifying Alzheimer's via MRI Imaging
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51. Case Studies and Patents in Alzheimer’s Disease Research
    Deepak Kumar, Piyush Anand, Juhi Tiwari, S. N. Singh · 2026 · BENTHAM SCIENCE PUBLISHERS eBooks
52. Multi-Disease MRI Analysis using DenseNet based CNN and U-Net Segmentation to detect brain tumor and Alzheimer diseases
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53. Optimized Deep Learning Approach for Alzheimer's Prediction Using CNN on MRI Images
    G.Navya Deepika, M. Vazralu, Patil Meenakshi, D. Mounika · 2026 · Wiley eBooks
54. Hybrid Bio-Inspired Feature Selection for Early Detection of Alzheimer's Disease
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55. Optimizing Healthcare Solutions: Exploratory Data Analysis and Feature Engineering for Early Detection of Alzheimer’s Disease Using Machine Learning
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56. Enhancing Public Health Decision-Making Through Patient-Level Healthcare Data Imputation and Machine Learning
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57. Explainable Ensemble Machine Learning Framework with Optimized Feature Selection for Early Detection of Alzheimer's Disease
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58. An Optimized Machine Learning Model for Alzheimer’s Disease Diagnosis
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59. AI-Assisted Early Diagnosis of Alzheimer’s Disease: A Comparative Analysis of learning Models
    Shabana Mol S, Jeyasheela Y · 2026 · International Conference on Inventive Computation Technologies (ICICT)
60. Alzheimer’s Disease Classification using Deep Learning Models with SMOTE-based Data Balancing
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61. Modeling the Detection of the Prevalence of Epileptic Seizures using Machine Learning
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62. Analysis of Existing Techniques for Alzheimer’s Disease Prediction Using ML
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63. Predicting Alzheimer’s Disease Progression Using Hybrid Machine Learning Models
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64. Evolutionary and Adaptive Optimization for Alzheimer's Disease Classification Using Machine Learning
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65. Early Detection of Alzheimer’s Disease Using SMOTE+ENN an Unbalanced Dataset and GRAD-CAM, Occlusion Mapping for Visualization
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66. NGS-GVA: Next-Generation Sequencing and Deep Learning with Hybrid SMOTE Balancing: Unraveling Genetic Variants in Alzheimer’s Disease
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67. Explainable deep morphological learning of medial temporal lobe atrophy for Alzheimer’s diagnosis and cognitive scoring
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68. Alzheimer’s disease risk prediction from clinical and social determinants of health: a machine learning cohort study in UK Biobank
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69. Early Detection of Alzheimer’s Disease Using Artificial Intelligence and Machine Learning: A Survey
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70. NeuroNet: Development of AI for the Detection of Alzheimer's from the MRI Data
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71. Hybrid Vision Transformer
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72. Exploring Machine Learning Techniques for Early Detection of Alzheimer’s Disease Using Multimodal Data
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78. Handwriting Data to Detect Alzheimer's Disease Using Machine Learning Methods and XAI Techniques
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80. Metaheuristic Optimization Framework for Accurate Alzheimer's Disease Prediction
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81. A Robust Intelligent Ensemble Framework with Dynamic Weight Optimization for Early Alzheimer’s Prediction
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82. Blockchain-enabled smart contracts for Alzheimer’s healthcare payments: Fraud reduction, efficiency enhancement, and personalized treatment adjustments with machine learning
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83. Alzheimer’s disease detection from structural brain MRI using FFA U-Net segmentation and transfer learning
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85. Machine Learning-Based Construction of Dementia Risk Prediction Models and Their Feature Importance Analysis
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86. Early Detection of Alzheimer's Disease Using Advanced Biomedical Materials and Nano-Enabled Biosensors: A Multimodal Approach
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87. An Enhanced Ensemble Alzheimer Disease Detection Network with a Refined Line Segment Feature Analysis
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88. Alzheimer’s Disease Detection Methods: Current Advancements and Future Directions
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89. Mechanomarker-informed identification of Alzheimer’s disease based on lateral ventricular deformation
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90. Forecasting Alzheimer’s disease progression using non-imaging clinical features and XGBoost
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91. Recent advances of AI-assisted diagnostic methods for neurological diseases
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92. Alzheimer Disease Detection using Deep Learning Model: A Comprehensive Survey
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93. Research on Detection and Grading of Alzheimer's Disease Based on Improved Vision Transformer Model
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