Cover Image

Next Visit Diagnosis Prediction via Medical Code-Centric Multimodal Contrastive EHR Modelling with Hierarchical Regularisation

Fuente: arXiv

Saved in:

Bibliographic Details
Main Author:	Koo, Heejoon
Format:	Preprint
Published:	2024
Subjects:	Machine Learning Artificial Intelligence Information Retrieval
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Overcoming Uncertain Incompleteness for Robust Multimodal Sequential Diagnosis Prediction via Curriculum Data Erasing Guided Knowledge Distillation
by: Koo, Heejoon
Published: (2024)

EHR-RAGp: Retrieval-Augmented Prototype-Guided Foundation Model for Electronic Health Records
by: Shurrab, Saeed, et al.
Published: (2026)

Large Language Models for Next Point-of-Interest Recommendation
by: Li, Peibo, et al.
Published: (2024)

Cross-Platform E-Commerce Product Categorization and Recategorization: A Multimodal Hierarchical Classification Approach
by: Gross, Lotte, et al.
Published: (2025)

Learning Time Slot Preferences via Mobility Tree for Next POI Recommendation
by: Huang, Tianhao, et al.
Published: (2024)

MixEHR-Nest: Identifying Subphenotypes within Electronic Health Records through Hierarchical Guided-Topic Modeling
by: Wang, Ruohan, et al.
Published: (2024)

Knowledge-Enhanced Recommendation with User-Centric Subgraph Network
by: Liu, Guangyi, et al.
Published: (2024)

Large Language Model Distilling Medication Recommendation Model
by: Liu, Qidong, et al.
Published: (2024)

Joint Identifiability of Cross-Domain Recommendation via Hierarchical Subspace Disentanglement
by: Du, Jing, et al.
Published: (2024)

Generative Cognitive Diagnosis
by: Li, Jiatong, et al.
Published: (2025)

Refine-POI: Reinforcement Fine-Tuned Large Language Models for Next Point-of-Interest Recommendation
by: Li, Peibo, et al.
Published: (2025)

Cobweb: An Incremental and Hierarchical Model of Human-Like Category Learning
by: Lian, Xin, et al.
Published: (2024)

DKINet: Medication Recommendation via Domain Knowledge Informed Deep Learning
by: Liu, Sicen, et al.
Published: (2023)

Superintelligent Retrieval Agent: The Next Frontier of Information Retrieval
by: Yang, Zeyu, et al.
Published: (2026)

Hierarchical LoRA MoE for Efficient CTR Model Scaling
by: Zeng, Zhichen, et al.
Published: (2025)

RAG4Outcome: A Retrieval-Augmented Multimodal Framework for Prognostic Prediction in Chronic Osteomyelitis
by: Shi, Daqian, et al.
Published: (2026)

From Generator to Embedder: Harnessing Innate Abilities of Multimodal LLMs via Building Zero-Shot Discriminative Embedding Model
by: Ju, Yeong-Joon, et al.
Published: (2025)

Position-Aware Sequential Attention for Accurate Next Item Recommendations
by: Nabiev, Timur, et al.
Published: (2026)

GAugLLM: Improving Graph Contrastive Learning for Text-Attributed Graphs with Large Language Models
by: Fang, Yi, et al.
Published: (2024)

NextMem: Towards Latent Factual Memory for LLM-based Agents
by: Zhang, Zeyu, et al.
Published: (2026)

GraphRAG on Consumer Hardware: Benchmarking Local LLMs for Healthcare EHR Schema Retrieval
by: Fernandes, Peter, et al.
Published: (2026)

DENSE: Longitudinal Progress Note Generation with Temporal Modeling of Heterogeneous Clinical Notes Across Hospital Visits
by: Keerthana, Garapati, et al.
Published: (2025)

RDGCL: Reaction-Diffusion Graph Contrastive Learning for Recommendation
by: Choi, Jeongwhan, et al.
Published: (2023)

AgentMove: A Large Language Model based Agentic Framework for Zero-shot Next Location Prediction
by: Feng, Jie, et al.
Published: (2024)

Symmetric Graph Contrastive Learning against Noisy Views for Recommendation
by: Zhao, Chu, et al.
Published: (2024)

Hierarchical Reinforcement Learning for Temporal Abstraction of Listwise Recommendation
by: Ji, Luo, et al.
Published: (2024)

Explaining the (Not So) Obvious: Simple and Fast Explanation of STAN, a Next Point of Interest Recommendation System
by: Yunus, Fajrian, et al.
Published: (2024)

Hierarchical Abstract Tree for Cross-Document Retrieval-Augmented Generation
by: Zhao, Ziwen, et al.
Published: (2026)

SCONE: A Novel Stochastic Sampling to Generate Contrastive Views and Hard Negative Samples for Recommendation
by: Lee, Chaejeong, et al.
Published: (2024)

GReF: A Unified Generative Framework for Efficient Reranking via Ordered Multi-token Prediction
by: Lin, Zhijie, et al.
Published: (2025)

Recall: Empowering Multimodal Embedding for Edge Devices
by: Cai, Dongqi, et al.
Published: (2024)

Order-Preserving Dimension Reduction for Multimodal Semantic Embedding
by: Gong, Chengyu, et al.
Published: (2024)

Multimodal Benchmarking and Recommendation of Text-to-Image Generation Models
by: Wanaskar, Kapil, et al.
Published: (2025)

Selective Test-Time Compute Scaling for Click-Through Rate Prediction via Uncertainty-Triggered Feature Path Exploration
by: Zhang, Moyu, et al.
Published: (2026)

BGM-HAN: A Hierarchical Attention Network for Accurate and Fair Decision Assessment on Semi-Structured Profiles
by: Liu, Junhua, et al.
Published: (2025)

CADMR: Cross-Attention and Disentangled Learning for Multimodal Recommender Systems
by: Khalafaoui, Yasser, et al.
Published: (2024)

An Interpretable Alternative to Neural Representation Learning for Rating Prediction -- Transparent Latent Class Modeling of User Reviews
by: Serra, Giuseppe, et al.
Published: (2024)

Beyond KAN: Introducing KarSein for Adaptive High-Order Feature Interaction Modeling in CTR Prediction
by: Shi, Yunxiao, et al.
Published: (2024)

Improving Word Translation via Two-Stage Contrastive Learning
by: Li, Yaoyiran, et al.
Published: (2022)

Contextual Attention-Based Multimodal Fusion of LLM and CNN for Sentiment Analysis
by: Zerkouk, Meriem, et al.
Published: (2025)