Improving Alzheimer's Disease Outcomes: Machine Learning Approaches to Predictive Diagnostics with CNN-SVM Hybrid Models

被引:0
|
作者
Vishal [1 ]
Mehta, Shiva [1 ]
Sharma, Pooja [2 ]
机构
[1] Chitkara University Institute of Engineering and Technology, Chitkara University, Centre for Research Impact & Outcome, Punjab, Rajpura,140401, India
[2] Chitkara University, Chitkara Centre for Research and Development, Himachal Pradesh, 174103, India
关键词
Alzheimers disease - Brain health - Confusion matrix - Convolutional neural network - Disaeses brain identification - F1 scores - Machine learning approaches - Performance - Stroke - SVM;
D O I
暂无
中图分类号
学科分类号
摘要
19
引用
收藏
相关论文
共 50 条
  • [31] An effectual recommendation model using hybrid learning models for early detection of Alzheimer's disease
    Sanjay, V.
    Swarnalatha, P.
    INTELLIGENT DECISION TECHNOLOGIES-NETHERLANDS, 2024, 18 (02): : 1541 - 1556
  • [32] Brain MRI Analysis for Alzheimer's Disease Diagnosis Using CNN-Based Feature Extraction and Machine Learning
    AlSaeed, Duaa
    Omar, Samar Fouad
    SENSORS, 2022, 22 (08)
  • [33] AUTOMATED DETECTION OF PARKINSON'S DISEASE BASED ON HYBRID CNN AND QUANTUM MACHINE LEARNING TECHNIQUES IN MRI IMAGES
    Ahalya, R. K.
    Nkondo, Gloria F.
    Snekhalatha, U.
    BIOMEDICAL ENGINEERING-APPLICATIONS BASIS COMMUNICATIONS, 2024, 36 (02):
  • [34] Development of a three tiered cognitive hybrid machine learning algorithm for effective diagnosis of Alzheimer's disease
    Khan, Afreen
    Zubair, Swaleha
    JOURNAL OF KING SAUD UNIVERSITY-COMPUTER AND INFORMATION SCIENCES, 2022, 34 (10) : 8000 - 8018
  • [35] Machine Learning Selection of Most Predictive Brain Proteins Suggests Role of Sugar Metabolism in Alzheimer's Disease
    Tandon, Raghav
    Levey, Allan, I
    Lah, James J.
    Seyfried, Nicholas T.
    Mitchell, Cassie S.
    JOURNAL OF ALZHEIMERS DISEASE, 2023, 92 (02) : 411 - 424
  • [36] Effect of Comorbidities Features in Machine Learning Models for Survival Analysis to Predict Prodromal Alzheimer's Disease
    Abuhantash, Ferial
    Al Shehhi, Aamna
    Hadjileontiadis, Leontios
    Seghier, Mohamed Lamine
    2023 45TH ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN MEDICINE & BIOLOGY SOCIETY, EMBC, 2023,
  • [37] PREDICTION OF ALZHEIMER'S DISEASE (AD) FROM ASYMPTOMATIC STAGES USING MACHINE LEARNING (ML) MODELS
    Huang, S.
    Qi-Gautier, L.
    Amzal, B.
    VALUE IN HEALTH, 2020, 23 : S274 - S274
  • [38] A Review on Machine Learning Approaches for Diagnosis of Alzheimer's Disease and Mild Cognitive Impairment Based on Brain MRI
    Givian, Helia
    Calbimonte, Jean-Paul
    IEEE ACCESS, 2024, 12 : 109912 - 109929
  • [39] Improving PET Imaging Acquisition and Analysis With Machine Learning: A Narrative Review With Focus on Alzheimer's Disease and Oncology
    Duffy, Ian R.
    Boyle, Amanda J.
    Vasdev, Neil
    MOLECULAR IMAGING, 2019, 18
  • [40] Machine Learning Approaches for Predicting Progression to Alzheimer’s Disease in Patients with Mild Cognitive ImpairmentMachine Learning Approaches for Predicting Progression to Alzheimer’s Disease in Patients with Mild Cognitive ImpairmentF. Gelir et al.
    Fatih Gelir
    Taymaz Akan
    Sait Alp
    Emrah Gecili
    Md. Shenuarin Bhuiyan
    Elizabeth A. Disbrow
    Steven A. Conrad
    John A. Vanchiere
    Christopher G. Kevil
    Mohammad Alfrad Nobel Bhuiyan
    Journal of Medical and Biological Engineering, 2025, 45 (1) : 63 - 83