SCOPE-PD: Explainable AI on Subjective and Clinical Objective Measurements of Parkinson's Disease for Precision Decision-Making
Fuente:
arXiv
Saved in:
| Main Authors: | Islam, Md Mezbahul, Templeton, John Michael, Sobhan, Masrur, Poellabauer, Christian, Mondal, Ananda Mohan |
|---|---|
| Format: | Preprint |
| Published: |
2026
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
STEP-PD: Stage-Aware and Explainable Parkinson's Disease Severity Classification Using Multimodal Clinical Assessments
by: Islam, Md Mezbahul, et al.
Published: (2026)
by: Islam, Md Mezbahul, et al.
Published: (2026)
Precision Cancer Classification and Biomarker Identification from mRNA Gene Expression via Dimensionality Reduction and Explainable AI
by: Tabassum, Farzana, et al.
Published: (2024)
by: Tabassum, Farzana, et al.
Published: (2024)
Generating In-Distribution Proxy Graphs for Explaining Graph Neural Networks
by: Chen, Zhuomin, et al.
Published: (2024)
by: Chen, Zhuomin, et al.
Published: (2024)
Improving Speech-based Emotion Recognition with Contextual Utterance Analysis and LLMs
by: Zhang, Enshi, et al.
Published: (2024)
by: Zhang, Enshi, et al.
Published: (2024)
An Explainable Agentic AI Framework for Uncertainty-Aware and Abstention-Enabled Acute Ischemic Stroke Imaging Decisions
by: Islam, Md Rashadul
Published: (2026)
by: Islam, Md Rashadul
Published: (2026)
Using AI to Measure Parkinson's Disease Severity at Home
by: Islam, Md Saiful, et al.
Published: (2023)
by: Islam, Md Saiful, et al.
Published: (2023)
Quantitative Measurement of Parkinson Disease Progression Using DaTscan Radiomics and Clinical Features With a Machine Learning–Based Approach
by: Md. Mahbub Alam, et al.
Published: (2026)
by: Md. Mahbub Alam, et al.
Published: (2026)
Library Objectives and Performance Measures and Their Use in Decision Making
by: Hamburg, Morris, et al.
Published: (1972)
by: Hamburg, Morris, et al.
Published: (1972)
Prediction of the Received Power of Low-Power Networks Using Inertial Sensors
by: Dargie, Waltenegus, et al.
Published: (2025)
by: Dargie, Waltenegus, et al.
Published: (2025)
RECA-PD: A Robust Explainable Cross-Attention Method for Speech-based Parkinson's Disease Classification
by: Zhong, Terry Yi, et al.
Published: (2025)
by: Zhong, Terry Yi, et al.
Published: (2025)
Measuring Subjective Differences Objectively
by: Johan Bergquist
Published: (2024)
by: Johan Bergquist
Published: (2024)
Rigidity in Parkinson's Disease: The Objective Effect of Levodopa
by: Marco Falletti, et al.
Published: (2025)
by: Marco Falletti, et al.
Published: (2025)
SincPD: An Explainable Method based on Sinc Filters to Diagnose Parkinson's Disease Severity by Gait Cycle Analysis
by: Salimi-Badr, Armin, et al.
Published: (2025)
by: Salimi-Badr, Armin, et al.
Published: (2025)
An Optimized Decision Tree-Based Framework for Explainable IoT Anomaly Detection
by: Ashikuzzaman, et al.
Published: (2026)
by: Ashikuzzaman, et al.
Published: (2026)
Balancing Subjectivity and Objectivity in Network Selection: A Decision-Making Framework Towards Digital Twins
by: Mefgouda, Brahim, et al.
Published: (2025)
by: Mefgouda, Brahim, et al.
Published: (2025)
CARE-PD: A Multi-Site Anonymized Clinical Dataset for Parkinson's Disease Gait Assessment
by: Adeli, Vida, et al.
Published: (2025)
by: Adeli, Vida, et al.
Published: (2025)
Unmasking Parkinson's Disease with Smile: An AI-enabled Screening Framework
by: Adnan, Tariq, et al.
Published: (2023)
by: Adnan, Tariq, et al.
Published: (2023)
Objective Metrics for Human-Subjects Evaluation in Explainable Reinforcement Learning
by: Gyevnar, Balint, et al.
Published: (2025)
by: Gyevnar, Balint, et al.
Published: (2025)
Explainable Multi-Modal Deep Learning for Automatic Detection of Lung Diseases from Respiratory Audio Signals
by: Saky, S M Asiful Islam, et al.
Published: (2025)
by: Saky, S M Asiful Islam, et al.
Published: (2025)
PD-Diag-Net: Clinical-Priors guided Network on Brain MRI for Auxiliary Diagnosis of Parkinson's Disease
by: Shao, Shuai, et al.
Published: (2025)
by: Shao, Shuai, et al.
Published: (2025)
Explainable AI for Sentiment Analysis of Human Metapneumovirus (HMPV) Using XLNet
by: Apu, Md. Shahriar Hossain, et al.
Published: (2025)
by: Apu, Md. Shahriar Hossain, et al.
Published: (2025)
Unveiling AI Decision-Making: A Comprehensive Framework for Interpretable Methods and Explainable AI
by: Revista, Zen, et al.
Published: (2025)
by: Revista, Zen, et al.
Published: (2025)
Bounds on Agreement between Subjective and Objective Measurements
by: Pieper, Jaden, et al.
Published: (2026)
by: Pieper, Jaden, et al.
Published: (2026)
Explainable AI-Enhanced Deep Learning for Pumpkin Leaf Disease Detection: A Comparative Analysis of CNN Architectures
by: Khandaker, Md. Arafat Alam, et al.
Published: (2025)
by: Khandaker, Md. Arafat Alam, et al.
Published: (2025)
Explainable Parkinsons Disease Gait Recognition Using Multimodal RGB-D Fusion and Large Language Models
by: Alnaasan, Manar, et al.
Published: (2025)
by: Alnaasan, Manar, et al.
Published: (2025)
Reversing the Lens: Using Explainable AI to Understand Human Expertise
by: Rahman, Roussel, et al.
Published: (2025)
by: Rahman, Roussel, et al.
Published: (2025)
Beyond Explainable Artificial Intelligence: Cognitive Endodontics—Towards Adaptive Clinical Decision‐Making
by: Mohammed Turky, et al.
Published: (2026)
by: Mohammed Turky, et al.
Published: (2026)
Improving Chronic Kidney Disease Detection Efficiency: Fine Tuned CatBoost and Nature-Inspired Algorithms with Explainable AI
by: Haque, Md. Ehsanul, et al.
Published: (2025)
by: Haque, Md. Ehsanul, et al.
Published: (2025)
Bridging Human Cognition and AI: A Framework for Explainable Decision-Making Systems
by: Jean, N., et al.
Published: (2025)
by: Jean, N., et al.
Published: (2025)
A Novel Approach to Explainable AI with Quantized Active Ingredients in Decision Making
by: Alagiyawanna, A. M. A. S. D., et al.
Published: (2026)
by: Alagiyawanna, A. M. A. S. D., et al.
Published: (2026)
Agentic AI for Autonomous, Explainable, and Real-Time Credit Risk Decision-Making
by: Kubam, Chandra Sekhar
Published: (2025)
by: Kubam, Chandra Sekhar
Published: (2025)
A Two-Stage Multitask Vision-Language Framework for Explainable Crop Disease Visual Question Answering
by: Hossain, Md. Zahid, et al.
Published: (2026)
by: Hossain, Md. Zahid, et al.
Published: (2026)
Interpretable and Explainable Surrogate Modeling for Simulations: A State-of-the-Art Survey and Perspectives on Explainable AI for Decision-Making
by: Palar, Pramudita Satria, et al.
Published: (2026)
by: Palar, Pramudita Satria, et al.
Published: (2026)
PULSAR: Graph based Positive Unlabeled Learning with Multi Stream Adaptive Convolutions for Parkinson's Disease Recognition
by: Alam, Md. Zarif Ul, et al.
Published: (2023)
by: Alam, Md. Zarif Ul, et al.
Published: (2023)
Trustworthy and Explainable Decision-Making for Workforce allocation
by: Povéda, Guillaume, et al.
Published: (2024)
by: Povéda, Guillaume, et al.
Published: (2024)
Characterization of Lumpy Skin Disease in Northern Bangladesh: Clinical, Pathological, Biochemical, and Molecular Perspectives
by: Samiron Roy, et al.
Published: (2025)
by: Samiron Roy, et al.
Published: (2025)
SCOPE: Spectral Concentration by Distributionally Robust Joint Covariance-Precision Estimation
by: Chen, Renjie, et al.
Published: (2025)
by: Chen, Renjie, et al.
Published: (2025)
Revolutionizing Brain Tumor Detection Using Explainable AI in MRI Images
by: Md. Ariful Islam, et al.
Published: (2025)
by: Md. Ariful Islam, et al.
Published: (2025)
AI ‐Enabled Precision Dosing in Pediatrics: Enhancing Model‐Informed Decision Making
by: Kei Irie, et al.
Published: (2026)
by: Kei Irie, et al.
Published: (2026)
The Potential of Disease Progression Modeling to Advance Clinical Development and Decision Making
by: Mary Summer Starling, et al.
Published: (2024)
by: Mary Summer Starling, et al.
Published: (2024)
Similar Items
-
STEP-PD: Stage-Aware and Explainable Parkinson's Disease Severity Classification Using Multimodal Clinical Assessments
by: Islam, Md Mezbahul, et al.
Published: (2026) -
Precision Cancer Classification and Biomarker Identification from mRNA Gene Expression via Dimensionality Reduction and Explainable AI
by: Tabassum, Farzana, et al.
Published: (2024) -
Generating In-Distribution Proxy Graphs for Explaining Graph Neural Networks
by: Chen, Zhuomin, et al.
Published: (2024) -
Improving Speech-based Emotion Recognition with Contextual Utterance Analysis and LLMs
by: Zhang, Enshi, et al.
Published: (2024) -
An Explainable Agentic AI Framework for Uncertainty-Aware and Abstention-Enabled Acute Ischemic Stroke Imaging Decisions
by: Islam, Md Rashadul
Published: (2026)