Cover Image

Leveraging Taxonomy Similarity for Next Activity Prediction in Patient Treatment

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Kuhn, Martin, Grüger, Joscha, Geyer, Tobias, Bergmann, Ralph
Format:	Preprint
Published:	2025
Subjects:	Machine Learning Artificial Intelligence
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

AI-Driven Decision Support in Oncology: Evaluating Data Readiness for Skin Cancer Treatment
by: Grüger, Joscha, et al.
Published: (2025)

Graph Neural Networks for Heart Failure Prediction on an EHR-Based Patient Similarity Graph
by: Boll, Heloisa Oss, et al.
Published: (2024)

An Innovative Next Activity Prediction Using Process Entropy and Dynamic Attribute-Wise-Transformer in Predictive Business Process Monitoring
by: Zare, Hadi, et al.
Published: (2025)

Physics in Next-token Prediction
by: An, Hongjun, et al.
Published: (2024)

Data Petri Nets meet Probabilistic Programming (Extended version)
by: Kuhn, Martin, et al.
Published: (2024)

Similarity-Based Self-Construct Graph Model for Predicting Patient Criticalness Using Graph Neural Networks and EHR Data
by: Sahu, Mukesh Kumar, et al.
Published: (2025)

Provable Long-Range Benefits of Next-Token Prediction
by: Cao, Xinyuan, et al.
Published: (2025)

Next Embedding Prediction Makes World Models Stronger
by: Bredis, George, et al.
Published: (2026)

Leveraging Language Models for Automated Patient Record Linkage
by: Beheshti, Mohammad, et al.
Published: (2025)

Next-Generation Travel Demand Modeling with a Generative Framework for Household Activity Coordination
by: Liao, Xishun, et al.
Published: (2025)

T-JEPA: A Joint-Embedding Predictive Architecture for Trajectory Similarity Computation
by: Li, Lihuan, et al.
Published: (2024)

Individual Bus Trip Chain Prediction and Pattern Identification Considering Similarities
by: Huang, Xiannan, et al.
Published: (2024)

Cautious Next Token Prediction
by: Wang, Yizhou, et al.
Published: (2025)

Leveraging Large Language Models to Predict Antibody Biological Activity Against Influenza A Hemagglutinin
by: Barkan, Ella, et al.
Published: (2025)

AIMI: Leveraging Future Knowledge and Personalization in Sparse Event Forecasting for Treatment Adherence
by: Mamun, Abdullah, et al.
Published: (2025)

An Accurate and Low-Parameter Machine Learning Architecture for Next Location Prediction
by: Jary, Calvin, et al.
Published: (2024)

Can We Predict Your Next Move Without Breaking Your Privacy?
by: Soni, Arpita, et al.
Published: (2025)

Next-Token Prediction Should be Ambiguity-Sensitive: A Meta-Learning Perspective
by: Gagnon, Leo, et al.
Published: (2025)

Multi-Task Learning with Feature-Similarity Laplacian Graphs for Predicting Alzheimer's Disease Progression
by: Xu, Zixiang, et al.
Published: (2025)

Leveraging weights signals -- Predicting and improving generalizability in reinforcement learning
by: Moulin, Olivier, et al.
Published: (2025)

CP$^2$: Leveraging Geometry for Conformal Prediction via Canonicalization
by: van der Linden, Putri A., et al.
Published: (2025)

Early Detection of Multidrug Resistance Using Multivariate Time Series Analysis and Interpretable Patient-Similarity Representations
by: Escudero-Arnanz, Óscar, et al.
Published: (2025)

CoVeR: Conformal Calibration for Versatile and Reliable Autoregressive Next-Token Prediction
by: Chen, Yuzhu, et al.
Published: (2025)

SUN: Shared Use of Next-token Prediction for Efficient Multi-LLM Disaggregated Serving
by: Woo, Sunghyeon, et al.
Published: (2026)

STORI: A Benchmark and Taxonomy for Stochastic Environments
by: Barsainyan, Aryan Amit, et al.
Published: (2025)

Towards Trustworthy Vital Sign Forecasting: Leveraging Uncertainty for Prediction Intervals
by: Wang, Li Rong, et al.
Published: (2025)

Next-Gen CAPTCHAs: Leveraging the Cognitive Gap for Scalable and Diverse GUI-Agent Defense
by: Liu, Jiacheng, et al.
Published: (2026)

A Geometric Perspective on Next-Token Prediction in Large Language Models: Three Emerging Phases
by: Lombardo, Gianfranco, et al.
Published: (2026)

NextLocLLM: Location Semantics Modeling and Coordinate-Based Next Location Prediction with LLMs
by: Liu, Shuai, et al.
Published: (2024)

Trustworthy GNNs with LLMs: A Systematic Review and Taxonomy
by: Xue, Ruizhan, et al.
Published: (2025)

Diffusion Models for Reinforcement Learning: Foundations, Taxonomy, and Development
by: Xu, Changfu, et al.
Published: (2025)

Beyond Eviction Prediction: Leveraging Local Spatiotemporal Public Records to Inform Action
by: Mashiat, Tasfia, et al.
Published: (2024)

FlexCare: Leveraging Cross-Task Synergy for Flexible Multimodal Healthcare Prediction
by: Xu, Muhao, et al.
Published: (2024)

Conformal Prediction for Dose-Response Models with Continuous Treatments
by: Verhaeghe, Jarne, et al.
Published: (2024)

Adaptive World Models: Learning Behaviors by Latent Imagination Under Non-Stationarity
by: Gospodinov, Emiliyan, et al.
Published: (2024)

Patient Similarity Computation for Clinical Decision Support: An Efficient Use of Data Transformation, Combining Static and Time Series Data
by: Sana, Joydeb Kumar, et al.
Published: (2025)

Towards Improving Long-Tail Entity Predictions in Temporal Knowledge Graphs through Global Similarity and Weighted Sampling
by: Mirtaheri, Mehrnoosh, et al.
Published: (2025)

Can We Predict the Unpredictable? Leveraging DisasterNet-LLM for Multimodal Disaster Classification
by: Kulahara, Manaswi, et al.
Published: (2025)

Improving User Behavior Prediction: Leveraging Annotator Metadata in Supervised Machine Learning Models
by: Ng, Lynnette Hui Xian, et al.
Published: (2025)

How to Leverage Predictive Uncertainty Estimates for Reducing Catastrophic Forgetting in Online Continual Learning
by: Serra, Giuseppe, et al.
Published: (2024)