Image de couverture de livre

Interpretable Fine-Gray Deep Survival Model for Competing Risks: Predicting Post-Discharge Foot Complications for Diabetic Patients in Ontario

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Ramachandram, Dhanesh, Loefler, Anne, Roberts, Surain, Verma, Amol, Norman, Maia, Razak, Fahad, Pow, Conrad, de Mestral, Charles
Format:	Preprint
Publié:	2025
Sujets:	Machine Learning Artificial Intelligence Neural and Evolutionary Computing
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

CRISP-NAM: Competing Risks Interpretable Survival Prediction with Neural Additive Models
par: Ramachandram, Dhanesh, et autres
Publié: (2025)

Propensity Score Weighting to Ensure Balance in Key Subgroups or Strata: A Practical Guide
par: Mackay, Emma K., et autres
Publié: (2026)

Characterizing the burden of biliary tract cancers across 28 hospitals in Ontario, Canada
par: Woo Jin Choi, et autres
Publié: (2024)

Interpretable Non-linear Survival Analysis with Evolutionary Symbolic Regression
par: Rovito, Luigi, et autres
Publié: (2025)

Generalizing and Unifying Gray-box Combinatorial Optimization Operators
par: Chicano, Francisco, et autres
Publié: (2024)

Bridging Electronic Health Records and Clinical Texts: Contrastive Learning for Enhanced Clinical Tasks
par: Ketabi, Sara, et autres
Publié: (2025)

Recently Delisted Songbird Harbors Extensive Genomic Evidence of Inbreeding, Potentially Complicating Future Recovery
par: Anna María Calderón, et autres
Publié: (2024)

More Efficient Real-Valued Gray-Box Optimization through Incremental Distribution Estimation in RV-GOMEA
par: Scholman, Renzo J., et autres
Publié: (2025)

Evolving Features vs Evolving Entire Trees with GP for Interpretable Survival Analysis
par: Schlender, Thalea, et autres
Publié: (2026)

Fitness-based Linkage Learning and Maximum-Clique Conditional Linkage Modelling for Gray-box Optimization with RV-GOMEA
par: Andreadis, Georgios, et autres
Publié: (2024)

Reinforcement Learning from Meta-Evaluation: Aligning Language Models Without Ground-Truth Labels
par: Rentschler, Micah, et autres
Publié: (2026)

ORS: A novel Olive Ridley Survival inspired Meta-heuristic Optimization Algorithm
par: Panigrahi, Niranjan, et autres
Publié: (2024)

Natural Gradient Interpretation of Rank-One Update in CMA-ES
par: Hamano, Ryoki, et autres
Publié: (2024)

A Step towards Interpretable Multimodal AI Models with MultiFIX
par: Malafaia, Mafalda, et autres
Publié: (2025)

Evolutionary Reinforcement Learning for Interpretable Decision-Making in Supply Chain Management
par: Genetti, Stefano, et autres
Publié: (2025)

Weight Decay Regimes in Grokking Transformers: Cheap Online Diagnostics
par: Verma, Lucky
Publié: (2026)

Re‐Interpreting Genetic Offset: Quantifying the Least Required Evolutionary Rate Under Climate Change at the Mediterranean Range Margin of European Beech
par: Josep Morando‐Milà, et autres
Publié: (2026)

FiTS: Interpretable Spiking Neurons via Frequency Selectivity and Temporal Shaping
par: Choi, Jongmin, et autres
Publié: (2026)

Strategies for Resource Allocation of Two Competing Companies using Genetic Algorithm
par: Cheung, Wing Keung, et autres
Publié: (2025)

Graph-Theoretic Measures for Interpretable Multicriteria Decision Making in Emergency Department Layout Optimization
par: Sarhan, Ola, et autres
Publié: (2025)

Interpreting V1 Population Activity via Image-Neural Latent Representation Alignment
par: Wang, Xin, et autres
Publié: (2026)

Levels and Spatial Patterns of Effective Population Sizes in the Southern Damselfly (Coenagrion mercuriale): On the Need to Carefully Interpret Single‐Point and Temporal Estimations to Set Conservation Guidelines
par: Agathe Lévêque, et autres
Publié: (2024)

Using evolutionary computation to optimize task performance of unclocked, recurrent Boolean circuits in FPGAs
par: Norman-Tenazas, Raphael, et autres
Publié: (2024)

Improving a Parallel C++ Intel AVX-512 SIMD Linear Genetic Programming Interpreter
par: Langdon, William B.
Publié: (2025)

Keypoint Action Tokens Enable In-Context Imitation Learning in Robotics
par: Di Palo, Norman, et autres
Publié: (2024)

Managing Friends and Foes: Sanctioning Mutualists in Mixed‐Infection Nodules Trades off With Defense Against Antagonists
par: Camille E. Wendlandt, et autres
Publié: (2024)

Leveraging the genetic diversity of trout in the rivers of the British Isles and northern France to understand the movements of sea trout ( Salmo trutta L.) around the English Channel
par: R. Andrew King, et autres
Publié: (2024)

Evaluation of Nuclear Microreactor Cost-competitiveness in Current Electricity Markets Considering Reactor Cost Uncertainties
par: Abdussami, Muhammad R., et autres
Publié: (2025)

Towards Interpretable Deep Local Learning with Successive Gradient Reconciliation
par: Yang, Yibo, et autres
Publié: (2024)

Classifying States of the Hopfield Network with Improved Accuracy, Generalization, and Interpretability
par: McAlister, Hayden, et autres
Publié: (2025)

Optimizing Neural Network Performance and Interpretability with Diophantine Equation Encoding
par: Katende, Ronald
Publié: (2024)

Why Evolve When You Can Adapt? Post-Evolution Adaptation of Genetic Memory for On-the-Fly Control
par: Hammami, Hamze, et autres
Publié: (2025)

Impact of Financial Literacy on Investment Decisions and Stock Market Participation using Extreme Learning Machines
par: Baveja, Gunbir Singh, et autres
Publié: (2024)

Interpretable Solutions for Breast Cancer Diagnosis with Grammatical Evolution and Data Augmentation
par: Hasan, Yumnah, et autres
Publié: (2024)

A Machine Learning Based Explainability Framework for Interpreting Swarm Intelligence
par: Gupta, Nitin, et autres
Publié: (2025)

Neural Interpretable Reasoning
par: Barbiero, Pietro, et autres
Publié: (2025)

Foundations of Interpretable Models
par: Barbiero, Pietro, et autres
Publié: (2025)

ComplicaCode: Enhancing Disease Complication Detection in Electronic Health Records through ICD Path Generation
par: Zhou, Xiaofan
Publié: (2023)

Spiking Brain Compression: Post-Training Second-order Compression for Spiking Neural Networks
par: Shi, Lianfeng, et autres
Publié: (2025)

Symbolic Quantile Regression for the Interpretable Prediction of Conditional Quantiles
par: Hoekstra, Cas Oude, et autres
Publié: (2025)