Cover Image

An Explainable Ensemble Framework for Alzheimer's Disease Prediction Using Structured Clinical and Cognitive Data

Fuente: arXiv

Saved in:

Bibliographic Details
Main Author:	Mitra, Nishan
Format:	Preprint
Published:	2026
Subjects:	Machine Learning Artificial Intelligence I.2.6; J.3
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Explainable Machine Learning System for Predicting Chronic Kidney Disease in High-Risk Cardiovascular Patients
by: Nguycharoen, Nantika
Published: (2024)

An Explainable Unsupervised-to-Supervised Machine Learning Framework for Dietary Pattern Discovery Using UK National Dietary Survey Data
by: Yu, Wing Yi, et al.
Published: (2026)

Multi-modal Integration Analysis of Alzheimer's Disease Using Large Language Models and Knowledge Graphs
by: Kiguchi, Kanan, et al.
Published: (2025)

Shapley Regression for Rare Disease Diagnosis Support: a case study on APDS
by: Alsaidi, Safa, et al.
Published: (2026)

Multi-Task Genetic Algorithm with Multi-Granularity Encoding for Protein-Nucleotide Binding Site Prediction
by: Gao, Yiming, et al.
Published: (2026)

LaPro-DTA: Latent Dual-View Drug Representations and Salient Protein Feature Extraction for Generalizable Drug--Target Affinity Prediction
by: Dun, Zihan, et al.
Published: (2026)

A Practical Upper Bound on Selection Bias Effects in Medical Prediction Models
by: Liu, Kara, et al.
Published: (2026)

Unsupervised Discovery of Clinical Disease Signatures Using Probabilistic Independence
by: Lasko, Thomas A., et al.
Published: (2024)

Antibody Design and Optimization with Multi-scale Equivariant Graph Diffusion Models for Accurate Complex Antigen Binding
by: Chen, Jiameng, et al.
Published: (2025)

Modeling Nonlinear Oscillator Networks Using Physics-Informed Hybrid Reservoir Computing
by: Shannon, Andrew, et al.
Published: (2024)

Reversible Deep Learning for 13C NMR in Chemoinformatics: On Structures and Spectra
by: Kuhn, Stefan, et al.
Published: (2026)

Benchmarking Early Deterioration Prediction Across Hospital-Rich and MCI-Like Emergency Triage Under Constrained Sensing
by: Solaiman, KMA, et al.
Published: (2026)

MTLComb: multi-task learning combining regression and classification tasks for joint feature selection
by: Cao, Han, et al.
Published: (2024)

RareGraph-Synth: Knowledge-Guided Diffusion Models for Generating Privacy-Preserving Synthetic Patient Trajectories in Ultra-Rare Diseases
by: Uppalapati, Khartik, et al.
Published: (2025)

LABO: LLM-Accelerated Bayesian Optimization through Broad Exploration and Selective Experimentation
by: Chen, Zhuo, et al.
Published: (2026)

DrugReasoner: Interpretable Drug Approval Prediction with a Reasoning-augmented Language Model
by: Ghaffarzadeh-Esfahani, Mohammadreza, et al.
Published: (2025)

HAELT: A Hybrid Attentive Ensemble Learning Transformer Framework for High-Frequency Stock Price Forecasting
by: Bui, Thanh Dan
Published: (2025)

Hierarchical Pooling and Explainability in Graph Neural Networks for Tumor and Tissue-of-Origin Classification Using RNA-seq Data
by: Fontanari, Thomas Vaitses, et al.
Published: (2026)

Using latent representations to link disjoint longitudinal data for mixed-effects regression
by: Schächter, Clemens, et al.
Published: (2025)

APC-GNN++: An Adaptive Patient-Centric GNN with Context-Aware Attention and Mini-Graph Explainability for Diabetes Classification
by: Berkani, Khaled
Published: (2025)

ASD-Bench: A Four-Axis Comprehensive Benchmark of AI Models for Autism Spectrum Disorder
by: Singh, Shubhankit, et al.
Published: (2026)

Good Rankings, Wrong Probabilities: A Calibration Audit of Multimodal Cancer Survival Models
by: Ghawami, Sajad
Published: (2026)

New methods for drug synergy prediction: a mini-review
by: Abbasi, Fatemeh, et al.
Published: (2024)

Deep Learning-Based Forecasting of Boarding Patient Counts to Address ED Overcrowding
by: Vural, Orhun, et al.
Published: (2025)

ERP-RiskBench: Leakage-Safe Ensemble Learning for Financial Risk
by: Mishra, Sanjay
Published: (2026)

Explainable Wastewater Digital Twins: Adaptive Context-Conditioned Structured Simulators with Self-Falsifying Decision Support
by: Simethy, Gary, et al.
Published: (2026)

SHAPoint: Task-Agnostic, Efficient, and Interpretable Point-Based Risk Scoring via Shapley Values
by: Meirman, Tomer D., et al.
Published: (2025)

Decodable but Not Corrected by Fixed Residual-Stream Linear Steering: Evidence from Medical LLM Failure Regimes
by: Liu, Ming
Published: (2026)

ELMTEX: Fine-Tuning Large Language Models for Structured Clinical Information Extraction. A Case Study on Clinical Reports
by: Guluzade, Aynur, et al.
Published: (2025)

BioAlchemy: Distilling Biological Literature into Reasoning-Ready Reinforcement Learning Training Data
by: Hsu, Brian, et al.
Published: (2026)

Contrastive and Multi-Task Learning on Noisy Brain Signals with Nonlinear Dynamical Signatures
by: Ghosh, Sucheta, et al.
Published: (2026)

Differentiable Stochastic Traffic Dynamics: Physics-Informed Generative Modelling in Transportation
by: Xin, Wuping
Published: (2026)

Baby Sophia: A Developmental Approach to Self-Exploration through Self-Touch and Hand Regard
by: Zarifis, Stelios, et al.
Published: (2025)

Increasing NWP Thunderstorm Predictability Using Ensemble Data and Machine Learning
by: Yousefnia, Kianusch Vahid, et al.
Published: (2025)

DreamNet: A Multimodal Framework for Semantic and Emotional Analysis of Sleep Narratives
by: Panchagnula, Tapasvi
Published: (2025)

Latent Space Representation of Electricity Market Curves: Maintaining Structural Integrity
by: Výboh, Martin, et al.
Published: (2025)

An Artificial Intelligence-Based Framework for Predicting Emergency Department Overcrowding: Development and Evaluation Study
by: Vural, Orhun, et al.
Published: (2025)

A Learnable Multi-views Contrastive Framework with Reconstruction Discrepancy for Medical Time-Series
by: Wang, Yifan, et al.
Published: (2025)

Deep Memory Search: A Metaheuristic Approach for Optimizing Heuristic Search
by: Hedar, Abdel-Rahman, et al.
Published: (2024)

An Energy-Efficient Spiking Neural Network Architecture for Predictive Insulin Delivery
by: Shrivastava, Sahil
Published: (2026)