Early Risk Stratification of Dosing Errors in Clinical Trials Using Machine Learning
Fuente:
arXiv
Guardado en:
| Autores principales: | Hêche, Félicien, Ferdowsi, Sohrab, Yazdani, Anthony, Sansaloni-Pastor, Sara, Teodoro, Douglas |
|---|---|
| Formato: | Preprint |
| Publicado: |
2026
|
| Materias: | |
| Acceso en línea: | |
| Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
Explainable Machine Learning for Pediatric Dental Risk Stratification Using Socio-Demographic Determinants
por: Kanade, Manasi, et al.
Publicado: (2026)
por: Kanade, Manasi, et al.
Publicado: (2026)
Risk-averse policies for natural gas futures trading using distributional reinforcement learning
por: Hêche, Félicien, et al.
Publicado: (2025)
por: Hêche, Félicien, et al.
Publicado: (2025)
A Latent Risk-Aware Machine Learning Approach for Predicting Operational Success in Clinical Trials based on TrialsBank
por: Halimi, Iness, et al.
Publicado: (2026)
por: Halimi, Iness, et al.
Publicado: (2026)
Integrated Machine Learning and Survival Analysis Modeling for Enhanced Chronic Kidney Disease Risk Stratification
por: Dana, Zachary, et al.
Publicado: (2024)
por: Dana, Zachary, et al.
Publicado: (2024)
ICU-TSB: A Benchmark for Temporal Patient Representation Learning for Unsupervised Stratification into Patient Cohorts
por: Proios, Dimitrios, et al.
Publicado: (2025)
por: Proios, Dimitrios, et al.
Publicado: (2025)
Deep Variational Contrastive Learning for Joint Risk Stratification and Time-to-Event Estimation
por: Erbil, Pinar, et al.
Publicado: (2026)
por: Erbil, Pinar, et al.
Publicado: (2026)
Acoustic Index: A Novel AI-Driven Parameter for Cardiac Disease Risk Stratification Using Echocardiography
por: Begiashvili, Beka, et al.
Publicado: (2025)
por: Begiashvili, Beka, et al.
Publicado: (2025)
Few-Label Multimodal Modeling of SNP Variants and ECG Phenotypes Using Large Language Models for Cardiovascular Risk Stratification
por: Menon, Niranjana Arun, et al.
Publicado: (2025)
por: Menon, Niranjana Arun, et al.
Publicado: (2025)
Identifying and Characterising Response in Clinical Trials: Development and Validation of a Machine Learning Approach in Colorectal Cancer
por: Marcus, Adam, et al.
Publicado: (2026)
por: Marcus, Adam, et al.
Publicado: (2026)
Risk Factor Identification In Osteoporosis Using Unsupervised Machine Learning Techniques
por: Calitis, Mikayla
Publicado: (2024)
por: Calitis, Mikayla
Publicado: (2024)
Evaluating Machine Learning Models against Clinical Protocols for Enhanced Interpretability and Continuity of Care
por: Sirocchi, Christel, et al.
Publicado: (2024)
por: Sirocchi, Christel, et al.
Publicado: (2024)
Early Detection of Coronary Heart Disease Using Hybrid Quantum Machine Learning Approach
por: Banday, Mehroush, et al.
Publicado: (2024)
por: Banday, Mehroush, et al.
Publicado: (2024)
Bootstrapping-based Regularisation for Reducing Individual Prediction Instability in Clinical Risk Prediction Models
por: Matijevic, Sara, et al.
Publicado: (2026)
por: Matijevic, Sara, et al.
Publicado: (2026)
Hierarchical Scoring for Machine Learning Classifier Error Impact Evaluation
por: Lanus, Erin, et al.
Publicado: (2025)
por: Lanus, Erin, et al.
Publicado: (2025)
Development and Validation of Heparin Dosing Policies Using an Offline Reinforcement Learning Algorithm
por: Lim, Yooseok, et al.
Publicado: (2024)
por: Lim, Yooseok, et al.
Publicado: (2024)
DeepMachining: Online Prediction of Machining Errors of Lathe Machines
por: Lu, Xiang-Li, et al.
Publicado: (2024)
por: Lu, Xiang-Li, et al.
Publicado: (2024)
LLMs in the Imaginarium: Tool Learning through Simulated Trial and Error
por: Wang, Boshi, et al.
Publicado: (2024)
por: Wang, Boshi, et al.
Publicado: (2024)
Optimizing Warfarin Dosing Using Contextual Bandit: An Offline Policy Learning and Evaluation Method
por: Huang, Yong, et al.
Publicado: (2024)
por: Huang, Yong, et al.
Publicado: (2024)
Toward Cost-efficient Adaptive Clinical Trials in Knee Osteoarthritis with Reinforcement Learning
por: Nguyen, Khanh, et al.
Publicado: (2024)
por: Nguyen, Khanh, et al.
Publicado: (2024)
TrialBench: Multi-Modal Artificial Intelligence-Ready Clinical Trial Datasets
por: Chen, Jintai, et al.
Publicado: (2024)
por: Chen, Jintai, et al.
Publicado: (2024)
Assessing the Feasibility of Early Cancer Detection Using Routine Laboratory Data: An Evaluation of Machine Learning Approaches on an Imbalanced Dataset
por: Li, Shumin
Publicado: (2025)
por: Li, Shumin
Publicado: (2025)
Machine Learning Framework for Early Power, Performance, and Area Estimation of RTL
por: Chattopadhyay, Anindita, et al.
Publicado: (2025)
por: Chattopadhyay, Anindita, et al.
Publicado: (2025)
A Comparative Study of Machine Learning Techniques for Early Prediction of Diabetes
por: Alzboon, Mowafaq Salem, et al.
Publicado: (2025)
por: Alzboon, Mowafaq Salem, et al.
Publicado: (2025)
A Semi Centralized Training Decentralized Execution Architecture for Multi Agent Deep Reinforcement Learning in Traffic Signal Control
por: Rezaali, Arash, et al.
Publicado: (2025)
por: Rezaali, Arash, et al.
Publicado: (2025)
Stroke Prediction using Clinical and Social Features in Machine Learning
por: Chadha, Aidan
Publicado: (2024)
por: Chadha, Aidan
Publicado: (2024)
CLaDMoP: Learning Transferrable Models from Successful Clinical Trials via LLMs
por: Zhang, Yiqing, et al.
Publicado: (2025)
por: Zhang, Yiqing, et al.
Publicado: (2025)
Routoo: Learning to Route to Large Language Models Effectively
por: Mohammadshahi, Alireza, et al.
Publicado: (2024)
por: Mohammadshahi, Alireza, et al.
Publicado: (2024)
An Interoperable Machine Learning Pipeline for Pediatric Obesity Risk Estimation
por: Fayyaz, Hamed, et al.
Publicado: (2024)
por: Fayyaz, Hamed, et al.
Publicado: (2024)
Interpolation-Driven Machine Learning Approaches for Plume Shine Dose Estimation: A Comparison of XGBoost, Random Forest, and TabNet
por: Sadhu, Biswajit, et al.
Publicado: (2026)
por: Sadhu, Biswajit, et al.
Publicado: (2026)
Insights into Schizophrenia: Leveraging Machine Learning for Early Identification via EEG, ERP, and Demographic Attributes
por: Alkhalifa, Sara
Publicado: (2025)
por: Alkhalifa, Sara
Publicado: (2025)
Don't Push the Button! Exploring Data Leakage Risks in Machine Learning and Transfer Learning
por: Apicella, Andrea, et al.
Publicado: (2024)
por: Apicella, Andrea, et al.
Publicado: (2024)
AUTOCT: Automating Interpretable Clinical Trial Prediction with LLM Agents
por: Liu, Fengze, et al.
Publicado: (2025)
por: Liu, Fengze, et al.
Publicado: (2025)
SECRET: Semi-supervised Clinical Trial Document Similarity Search
por: Das, Trisha, et al.
Publicado: (2025)
por: Das, Trisha, et al.
Publicado: (2025)
Monitoring Fidelity of Online Reinforcement Learning Algorithms in Clinical Trials
por: Trella, Anna L., et al.
Publicado: (2024)
por: Trella, Anna L., et al.
Publicado: (2024)
Leveraging Machine Learning for Early Autism Detection via INDT-ASD Indian Database
por: Shrivastava, Trapti, et al.
Publicado: (2024)
por: Shrivastava, Trapti, et al.
Publicado: (2024)
Aligning Evaluation with Clinical Priorities: Calibration, Label Shift, and Error Costs
por: Flores, Gerardo A., et al.
Publicado: (2025)
por: Flores, Gerardo A., et al.
Publicado: (2025)
Bank Loan Prediction Using Machine Learning Techniques
por: Haque, F M Ahosanul, et al.
Publicado: (2024)
por: Haque, F M Ahosanul, et al.
Publicado: (2024)
Diabetes Prediction and Management Using Machine Learning Approaches
por: Alzboon, Mowafaq Salem, et al.
Publicado: (2025)
por: Alzboon, Mowafaq Salem, et al.
Publicado: (2025)
Deep Learning-based Prediction of Clinical Trial Enrollment with Uncertainty Estimates
por: Do, Tien Huu, et al.
Publicado: (2025)
por: Do, Tien Huu, et al.
Publicado: (2025)
Minimum Bayes Risk Decoding for Error Span Detection in Reference-Free Automatic Machine Translation Evaluation
por: Lyu, Boxuan, et al.
Publicado: (2025)
por: Lyu, Boxuan, et al.
Publicado: (2025)
Ejemplares similares
-
Explainable Machine Learning for Pediatric Dental Risk Stratification Using Socio-Demographic Determinants
por: Kanade, Manasi, et al.
Publicado: (2026) -
Risk-averse policies for natural gas futures trading using distributional reinforcement learning
por: Hêche, Félicien, et al.
Publicado: (2025) -
A Latent Risk-Aware Machine Learning Approach for Predicting Operational Success in Clinical Trials based on TrialsBank
por: Halimi, Iness, et al.
Publicado: (2026) -
Integrated Machine Learning and Survival Analysis Modeling for Enhanced Chronic Kidney Disease Risk Stratification
por: Dana, Zachary, et al.
Publicado: (2024) -
ICU-TSB: A Benchmark for Temporal Patient Representation Learning for Unsupervised Stratification into Patient Cohorts
por: Proios, Dimitrios, et al.
Publicado: (2025)