Interpretable Machine Learning for Cognitive Aging: Handling Missing Data and Uncovering Social Determinant
Fuente:
arXiv
Enregistré dans:
| Auteurs principaux: | Mao, Xi, Wang, Zhendong, Li, Jingyu, Mao, Lingchao, Essien, Utibe, Wang, Hairong, Ni, Xuelei Sherry |
|---|---|
| Format: | Preprint |
| Publié: |
2025
|
| Sujets: | |
| Accès en ligne: | |
| Tags: |
Ajouter un tag
Pas de tags, Soyez le premier à ajouter un tag!
|
Documents similaires
Benchmarking Foundation Speech and Language Models for Alzheimer's Disease and Related Dementia Detection from Spontaneous Speech
par: Li, Jingyu, et autres
Publié: (2025)
par: Li, Jingyu, et autres
Publié: (2025)
Missing Values Handling for Machine Learning Portfolios
par: Chen, Andrew Y., et autres
Publié: (2022)
par: Chen, Andrew Y., et autres
Publié: (2022)
Joint Models for Handling Non-Ignorable Missing Data using Bayesian Additive Regression Trees: Application to Leaf Photosynthetic Traits Data
par: Goh, Yong Chen, et autres
Publié: (2024)
par: Goh, Yong Chen, et autres
Publié: (2024)
Evaluation of Missing Data Analytical Techniques in Longitudinal Research: Traditional and Machine Learning Approaches
par: Tang, Dandan, et autres
Publié: (2024)
par: Tang, Dandan, et autres
Publié: (2024)
Why You Should Not Trust Interpretations in Machine Learning: Adversarial Attacks on Partial Dependence Plots
par: Xin, Xi, et autres
Publié: (2024)
par: Xin, Xi, et autres
Publié: (2024)
Early Prediction of Alzheimer's and Related Dementias: A Machine Learning Approach Utilizing Social Determinants of Health Data
par: Kindo, Bereket, et autres
Publié: (2025)
par: Kindo, Bereket, et autres
Publié: (2025)
A Nonparametric Adaptive EWMA Control Chart for Binary Monitoring of Multiple Stream Processes
par: Muritala, Faruk, et autres
Publié: (2026)
par: Muritala, Faruk, et autres
Publié: (2026)
Modeling Information Blackouts in Missing Not-At-Random Time Series Data
par: Sunesh, Aman, et autres
Publié: (2026)
par: Sunesh, Aman, et autres
Publié: (2026)
Uncovering smooth structures in single-cell data with PCS-guided neighbor embeddings
par: Ma, Rong, et autres
Publié: (2025)
par: Ma, Rong, et autres
Publié: (2025)
Pure Component Property Estimation Framework Using Explainable Machine Learning Methods
par: Jiao, Jianfeng, et autres
Publié: (2025)
par: Jiao, Jianfeng, et autres
Publié: (2025)
Model-Agnostic Interpretation Framework in Machine Learning: A Comparative Study in NBA Sports
par: Liu, Shun
Publié: (2024)
par: Liu, Shun
Publié: (2024)
Interpretable Prediction Rule Ensembles in the Presence of Missing Data
par: Schroeder, Vincent, et autres
Publié: (2024)
par: Schroeder, Vincent, et autres
Publié: (2024)
SmoothSegNet: A Global-Local Framework for Liver Tumor Segmentation with Clinical KnowledgeInformed Label Smoothing
par: Wang, Hairong, et autres
Publié: (2024)
par: Wang, Hairong, et autres
Publié: (2024)
Monitoring Machine Learning Forecasts for Platform Data Streams
par: Rombouts, Jeroen, et autres
Publié: (2024)
par: Rombouts, Jeroen, et autres
Publié: (2024)
High-dimensional Statistics Applications to Batch Effects in Metabolomics
par: Guo, Zhendong
Publié: (2024)
par: Guo, Zhendong
Publié: (2024)
Depth-Based Local Center Clustering: A Framework for Handling Different Clustering Scenarios
par: Wang, Siyi, et autres
Publié: (2025)
par: Wang, Siyi, et autres
Publié: (2025)
Data Curation for Machine Learning Interatomic Potentials by Determinantal Point Processes
par: Zou, Joanna, et autres
Publié: (2026)
par: Zou, Joanna, et autres
Publié: (2026)
Predictive Uncertainty in Short-Term PV Forecasting under Missing Data: A Multiple Imputation Approach
par: Pashmchi, Parastoo, et autres
Publié: (2026)
par: Pashmchi, Parastoo, et autres
Publié: (2026)
A Deep Learning Approach for Overall Survival Prediction in Lung Cancer with Missing Values
par: Caruso, Camillo Maria, et autres
Publié: (2023)
par: Caruso, Camillo Maria, et autres
Publié: (2023)
Model Determination for High-Dimensional Longitudinal Data with Missing Observations: An Application to Microfinance Data
par: Rüter, Lotta, et autres
Publié: (2024)
par: Rüter, Lotta, et autres
Publié: (2024)
Gaussian Copula Models for Nonignorable Missing Data Using Auxiliary Marginal Quantiles
par: Feldman, Joseph, et autres
Publié: (2024)
par: Feldman, Joseph, et autres
Publié: (2024)
Intelligent Diagnosis of Alzheimer's Disease Based on Machine Learning
par: Li, Mingyang, et autres
Publié: (2024)
par: Li, Mingyang, et autres
Publié: (2024)
Atlas-based Manifold Representations for Interpretable Riemannian Machine Learning
par: Robinett, Ryan A., et autres
Publié: (2025)
par: Robinett, Ryan A., et autres
Publié: (2025)
Fusion Sampling Validation in Data Partitioning for Machine Learning
par: Udomboso, Christopher Godwin, et autres
Publié: (2025)
par: Udomboso, Christopher Godwin, et autres
Publié: (2025)
Time-Varying Network Driver Estimation (TNDE) Quantifies Stage-Specific Regulatory Effects From Single-Cell Snapshots
par: Li, Jiaxin, et autres
Publié: (2025)
par: Li, Jiaxin, et autres
Publié: (2025)
Human Limits in Machine Learning: Prediction of Plant Phenotypes Using Soil Microbiome Data
par: Aghdam, Rosa, et autres
Publié: (2023)
par: Aghdam, Rosa, et autres
Publié: (2023)
Forecasting Medium-Horizon Alzheimer's Disease Progression: Residual Gap-Aware Transformers for 24-Month CDR-SB Change from ADNI Clinical and Biomarker Histories
par: Tong, Ran, et autres
Publié: (2026)
par: Tong, Ran, et autres
Publié: (2026)
Integrating Response Time and Attention Duration in Bayesian Preference Learning for Multiple Criteria Decision Aiding
par: Jiang, Jiaxuan, et autres
Publié: (2025)
par: Jiang, Jiaxuan, et autres
Publié: (2025)
Machine Learning-based Layer-wise Detection of Overheating Anomaly in LPBF using Photodiode Data
par: Hasan, Nazmul, et autres
Publié: (2024)
par: Hasan, Nazmul, et autres
Publié: (2024)
Mapping Methane -- The Impact of Dairy Farm Practices on Emissions Through Satellite Data and Machine Learning
par: Bi, Hanqing, et autres
Publié: (2024)
par: Bi, Hanqing, et autres
Publié: (2024)
A Comprehensive Analysis of Churn Prediction in Telecommunications Using Machine Learning
par: Chen, Xuhang, et autres
Publié: (2025)
par: Chen, Xuhang, et autres
Publié: (2025)
Teleodynamic Learning a new Paradigm For Interpretable AI
par: ter Horst, Enrique, et autres
Publié: (2026)
par: ter Horst, Enrique, et autres
Publié: (2026)
Statistical Inference for Heterogeneous Treatment Effect with Right-censored Data from Synthesizing Randomized Clinical Trials and Real-world Data
par: Mao, Guangcai, et autres
Publié: (2025)
par: Mao, Guangcai, et autres
Publié: (2025)
Double Machine Learning for Adaptive Causal Representation in High-Dimensional Data
par: Aouar, Lynda, et autres
Publié: (2024)
par: Aouar, Lynda, et autres
Publié: (2024)
Predicting VBAC Outcomes from U.S. Natality Data using Deep and Classical Machine Learning Models
par: Anand, Ananya
Publié: (2025)
par: Anand, Ananya
Publié: (2025)
Causal Inference with Double/Debiased Machine Learning for Evaluating the Health Effects of Multiple Mismeasured Pollutants
par: Xu, Gang, et autres
Publié: (2024)
par: Xu, Gang, et autres
Publié: (2024)
Establishing Nationwide Power System Vulnerability Index across US Counties Using Interpretable Machine Learning
par: Ma, Junwei, et autres
Publié: (2024)
par: Ma, Junwei, et autres
Publié: (2024)
Absolute Risk Prediction for Cannabis Use Disorder in Adolescence and Early Adulthood Using Bayesian Machine Learning
par: Wang, Tingfang, et autres
Publié: (2025)
par: Wang, Tingfang, et autres
Publié: (2025)
On Using Large Language Models to Enhance Clinically-Driven Missing Data Recovery Algorithms in Electronic Health Records
par: Lotspeich, Sarah C., et autres
Publié: (2025)
par: Lotspeich, Sarah C., et autres
Publié: (2025)
Missing data imputation for noisy time-series data and applications in healthcare
par: Le, Lien P., et autres
Publié: (2024)
par: Le, Lien P., et autres
Publié: (2024)
Documents similaires
-
Benchmarking Foundation Speech and Language Models for Alzheimer's Disease and Related Dementia Detection from Spontaneous Speech
par: Li, Jingyu, et autres
Publié: (2025) -
Missing Values Handling for Machine Learning Portfolios
par: Chen, Andrew Y., et autres
Publié: (2022) -
Joint Models for Handling Non-Ignorable Missing Data using Bayesian Additive Regression Trees: Application to Leaf Photosynthetic Traits Data
par: Goh, Yong Chen, et autres
Publié: (2024) -
Evaluation of Missing Data Analytical Techniques in Longitudinal Research: Traditional and Machine Learning Approaches
par: Tang, Dandan, et autres
Publié: (2024) -
Why You Should Not Trust Interpretations in Machine Learning: Adversarial Attacks on Partial Dependence Plots
par: Xin, Xi, et autres
Publié: (2024)