Evaluation of machine learning models for the prediction of Alzheimer's: In search of the best performance

Evaluation of machine learning models for the prediction of Alzheimer's: In search of the best performance

Alzheimer's is a progressive and degenerative disease affecting millions worldwide, incapacitating them physically and cognitively. This study aims to perform a comparative analysis of Machine Learning models to determine the model with the best performance in predicting Alzheimer's diseas...

Full description

Saved in:

Bibliographic Details
Main Authors:	Michael Cabanillas-Carbonell, Joselyn Zapata-Paulini
Format:	Article
Language:	English
Published:	Elsevier 2025-03-01
Series:	Brain, Behavior, & Immunity - Health
Subjects:	Alzheimer Prediction Machine learning Evaluation Models
Online Access:	http://www.sciencedirect.com/science/article/pii/S2666354625000158
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

An ensemble machine learning-based performance evaluation identifies top In-Silico pathogenicity prediction methods that best classify driver mutations in cancer
by: Subrata Das, et al.
Published: (2025-01-01)

Identification of blood plasma protein ratios for distinguishing Alzheimer's disease from healthy controls using machine learning
by: Ali Safi, et al.
Published: (2025-02-01)

Systematic analysis and prediction of the burden of Alzheimer’s disease and other dementias caused by hyperglycemia
by: Dongying He, et al.
Published: (2025-02-01)

Multi-Task Learning for Alzheimer’s Disease Diagnosis and Mini-Mental State Examination Score Prediction
by: Jin Liu, et al.
Published: (2024-09-01)

Identification of Plasma Proteins Associated with Alzheimer's Disease Using Feature Selection Techniques and Machine Learning Algorithms
by: Zakaria Mokadem, et al.
Published: (2025-02-01)

ML-Based Quantitative Analysis of Linguistic and Speech Features Relevant in Predicting Alzheimer’s Disease
by: Tripti Tripathi, et al.
Published: (2024-06-01)

Machine learning for predicting earthquake magnitudes in the Central Himalaya
by: Ram Krishna Tiwari, et al.
Published: (2025-01-01)

Machine learning for predicting earthquake magnitudes in the Central Himalaya
by: Ram Krishna Tiwari, et al.
Published: (2025-01-01)

Enhancing Chronic Disease Prediction in IoMT-Enabled Healthcare 5.0 Using Deep Machine Learning: Alzheimer’s Disease as a Case Study
by: Rabia Javed, et al.
Published: (2025-01-01)

A Comparative Study Evaluated the Performance of Two-class Classification Algorithms in Machine Learning
by: Shilan Abdullah Hassan, et al.
Published: (2024-10-01)

Study on influencing factors of age-adjusted Charlson comorbidity index in patients with Alzheimer's disease based on machine learning model
by: Jian Ding, et al.
Published: (2025-01-01)

Palmitoylation-related gene ZDHHC22 as a potential diagnostic and immunomodulatory target in Alzheimer’s disease: insights from machine learning analyses and WGCNA
by: Sanying Mao, et al.
Published: (2025-01-01)

Rethinking the residual approach: leveraging statistical learning to operationalize cognitive resilience in Alzheimer’s disease
by: Colin Birkenbihl, et al.
Published: (2025-01-01)

Performance Analysis of Diabetes Detection Using Machine Learning Classifiers
by: Hung Huynh, et al.
Published: (2024-10-01)

In search of Alzheimer’s disease treatment methods: trends of clinical trials
by: G. Pakulaitė, et al.
Published: (2018-03-01)

Creation and interpretation of machine learning models for aqueous solubility prediction
by: Minyi Su, et al.
Published: (2023-10-01)

Identification of therapeutic targets for Alzheimer’s Disease Treatment using bioinformatics and machine learning
by: ZhanQiang Xie, et al.
Published: (2025-01-01)

Machine learning based prediction models for the prognosis of COVID-19 patients with DKA
by: Zhongyuan Xiang, et al.
Published: (2025-01-01)

An investigation of machine learning methods applied to genomic prediction in yellow-feathered broilers
by: Bogong Liu, et al.
Published: (2025-01-01)

A machine learning model the prediction of athlete engagement based on cohesion, passion and mental toughness
by: Xin Zhang, et al.
Published: (2025-01-01)

Fruit size prediction of tomato cultivars using machine learning algorithms
by: Masaaki Takahashi, et al.
Published: (2025-01-01)

Boruta-grid-search least square support vector machine for NO2 pollution prediction using big data analytics and IoT emission sensors
by: Habeeb Balogun, et al.
Published: (2025-01-01)

Machine Learning-Based Anomaly Prediction for Proactive Monitoring in Data Centers: A Case Study on INFN-CNAF
by: Andrea Asperti, et al.
Published: (2025-01-01)

Machine Learning and Medical Data: Predicting ICU Mortality and Re-admission Risks
by: Runia Roy, et al.
Published: (2024-12-01)

Solar Irradiance Prediction for Zaria Town Using Different Machine Learning Models
by: Ibrahim Abdulwahab, et al.
Published: (2024-07-01)

Advanced Machine Learning to Predict Coronary Artery Disease Severity in Patients with Premature Myocardial Infarction
by: Yu-Hang Wang, et al.
Published: (2025-01-01)

Clinical validation and optimization of machine learning models for early prediction of sepsis
by: Xi Liu, et al.
Published: (2025-02-01)

Risk factors and machine learning prediction models for intrahepatic cholestasis of pregnancy
by: Yingchun Ren, et al.
Published: (2025-01-01)

Prediction and diagnosis of cardiovascular disease using cloud and machine learning design
by: K. Babu, et al.
Published: (2025-01-01)

The application of machine learning approaches to classify and predict fertility rate in Ethiopia
by: Ewunate Assaye Kassaw, et al.
Published: (2025-01-01)

On the use of adversarial validation for quantifying dissimilarity in geospatial machine learning prediction
by: Yanwen Wang, et al.
Published: (2025-12-01)

Predictive Value of Machine Learning Models for Cerebral Edema Risk in Stroke Patients: A Meta‐Analysis
by: Qi Deng, et al.
Published: (2025-01-01)

Structural Analysis of Amylin and Amyloid β Peptide Signaling in Alzheimer’s Disease
by: Longsheng Xie, et al.
Published: (2025-01-01)

Diagnosis and Detection of Alzheimer’s Disease Using Learning Algorithm
by: Gargi Pant Shukla, et al.
Published: (2023-12-01)

Neuropsychiatric symptoms in Alzheimer’s disease
by: J. Vegytė, et al.
Published: (2024-02-01)

PHYSICS-DRIVEN FEATURE CREATION TO IMPROVE MACHINE LEARNING MODELS PERFORMANCE FOR OIL PRODUCTION RATE PREDICTION
by: Eghbal Motaei, et al.
Published: (2024-12-01)

Machine Learning-Based Diabetes Risk Prediction Using Associated Behavioral Features
by: Ayodeji O. J. Ibitoye, et al.
Published: (2024-01-01)

Harnessing Machine Learning for Diabetes Prediction: Optimizing Classifiers to Tackle Canada's Growing Health Challenge
by: Mark Gerald Anastacio, et al.
Published: (2024-09-01)

Adapting to evolving MRI data: A transfer learning approach for Alzheimer’s disease prediction
by: Rosanna Turrisi, et al.
Published: (2025-02-01)

Using machine learning to predict outcomes following transcarotid artery revascularization
by: Ben Li, et al.
Published: (2025-01-01)