Buchumschlag

Multi-lingual Multi-institutional Electronic Health Record based Predictive Model

Fuente: arXiv

Gespeichert in:

Bibliographische Detailangaben
Hauptverfasser:	Hur, Kyunghoon, Kwak, Heeyoung, Jang, Jinsu, Kim, Nakhwan, Choi, Edward
Format:	Preprint
Veröffentlicht:	2026
Schlagworte:	Computation and Language Machine Learning
Online-Zugang:	Acceder al recurso
Tags:	Tag hinzufügen Keine Tags, Fügen Sie den ersten Tag hinzu!

Ähnliche Einträge

Federated Learning for Heterogeneous Electronic Health Record Systems with Cost Effective Participant Selection
von: Kim, Jiyoun, et al.
Veröffentlicht: (2024)

Equitable Electronic Health Record Prediction with FAME: Fairness-Aware Multimodal Embedding
von: Hooman, Nikkie, et al.
Veröffentlicht: (2025)

MedRep: Medical Concept Representation for General Electronic Health Record Foundation Models
von: Kim, Junmo, et al.
Veröffentlicht: (2025)

ColaCare: Enhancing Electronic Health Record Modeling through Large Language Model-Driven Multi-Agent Collaboration
von: Wang, Zixiang, et al.
Veröffentlicht: (2024)

EMERGE: Enhancing Multimodal Electronic Health Records Predictive Modeling with Retrieval-Augmented Generation
von: Zhu, Yinghao, et al.
Veröffentlicht: (2024)

X-PEFT: eXtremely Parameter-Efficient Fine-Tuning for Extreme Multi-Profile Scenarios
von: Kwak, Namju, et al.
Veröffentlicht: (2024)

Large Language Models are Powerful Electronic Health Record Encoders
von: Hegselmann, Stefan, et al.
Veröffentlicht: (2025)

Global Contrastive Training for Multimodal Electronic Health Records with Language Supervision
von: Ma, Yingbo, et al.
Veröffentlicht: (2024)

Ensemble BERT for Medication Event Classification on Electronic Health Records (EHRs)
von: Sarker, Shouvon, et al.
Veröffentlicht: (2025)

Prompting Large Language Models for Zero-Shot Clinical Prediction with Structured Longitudinal Electronic Health Record Data
von: Zhu, Yinghao, et al.
Veröffentlicht: (2024)

EHR2Path: Scalable Modeling of Longitudinal Patient Pathways from Multimodal Electronic Health Records
von: Pellegrini, Chantal, et al.
Veröffentlicht: (2025)

Augmented Risk Prediction for the Onset of Alzheimer's Disease from Electronic Health Records with Large Language Models
von: Wang, Jiankun, et al.
Veröffentlicht: (2024)

Gap-K%: Measuring Top-1 Prediction Gap for Detecting Pretraining Data
von: Kwak, Minseo, et al.
Veröffentlicht: (2026)

Autocompletion of Chief Complaints in the Electronic Health Records using Large Language Models
von: Islam, K M Sajjadul, et al.
Veröffentlicht: (2024)

Bridging Electronic Health Records and Clinical Texts: Contrastive Learning for Enhanced Clinical Tasks
von: Ketabi, Sara, et al.
Veröffentlicht: (2025)

Simultaneous Long-tailed Recognition and Multi-modal Fusion for Highly Imbalanced Multi-modal Data
von: Yoon, Heegeon, et al.
Veröffentlicht: (2026)

AutoGuide: Automated Generation and Selection of Context-Aware Guidelines for Large Language Model Agents
von: Fu, Yao, et al.
Veröffentlicht: (2024)

On the Importance of a Multi-Scale Calibration for Quantization
von: Son, Seungwoo, et al.
Veröffentlicht: (2026)

Adapting Mental Health Prediction Tasks for Cross-lingual Learning via Meta-Training and In-context Learning with Large Language Model
von: Lifelo, Zita, et al.
Veröffentlicht: (2024)

Early Prediction of Alzheimers Disease Leveraging Symptom Occurrences from Longitudinal Electronic Health Records of US Military Veterans
von: Li, Rumeng, et al.
Veröffentlicht: (2023)

Refining Dimensions for Improving Clustering-based Cross-lingual Topic Models
von: Chang, Chia-Hsuan, et al.
Veröffentlicht: (2024)

UniHPF : Universal Healthcare Predictive Framework with Zero Domain Knowledge
von: Hur, Kyunghoon, et al.
Veröffentlicht: (2022)

A Comprehensive Survey of Electronic Health Record Modeling: From Deep Learning Approaches to Large Language Models
von: Ren, Weijieying, et al.
Veröffentlicht: (2025)

LabTOP: A Unified Model for Lab Test Outcome Prediction on Electronic Health Records
von: Im, Sujeong, et al.
Veröffentlicht: (2025)

Constrained Decoding for Cross-lingual Label Projection
von: Le, Duong Minh, et al.
Veröffentlicht: (2024)

RTSUM: Relation Triple-based Interpretable Summarization with Multi-level Salience Visualization
von: Cho, Seonglae, et al.
Veröffentlicht: (2023)

General-Purpose Retrieval-Enhanced Medical Prediction Model Using Near-Infinite History
von: Kim, Junu, et al.
Veröffentlicht: (2023)

Natural Language Processing for Electronic Health Records in Scandinavian Languages: Norwegian, Swedish, and Danish
von: Woldaregay, Ashenafi Zebene, et al.
Veröffentlicht: (2025)

KMMMU: Evaluation of Massive Multi-discipline Multimodal Understanding in Korean Language and Context
von: Lee, Nahyun, et al.
Veröffentlicht: (2026)

Cancer Diagnosis Categorization in Electronic Health Records Using Large Language Models and BioBERT: Model Performance Evaluation Study
von: Hashtarkhani, Soheil, et al.
Veröffentlicht: (2025)

Large Language Models for Cross-lingual Emotion Detection
von: Kadiyala, Ram Mohan Rao
Veröffentlicht: (2024)

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

LEIA: Facilitating Cross-lingual Knowledge Transfer in Language Models with Entity-based Data Augmentation
von: Yamada, Ikuya, et al.
Veröffentlicht: (2024)

Cross-lingual transfer of multilingual models on low resource African Languages
von: Thangaraj, Harish, et al.
Veröffentlicht: (2024)

A Korean Legal Judgment Prediction Dataset for Insurance Disputes
von: Kwak, Alice Saebom, et al.
Veröffentlicht: (2024)

Multi-Token Prediction via Self-Distillation
von: Kirchenbauer, John, et al.
Veröffentlicht: (2026)

Continuous Predictive Modeling of Clinical Notes and ICD Codes in Patient Health Records
von: Caralt, Mireia Hernandez, et al.
Veröffentlicht: (2024)

Health-LLM: Large Language Models for Health Prediction via Wearable Sensor Data
von: Kim, Yubin, et al.
Veröffentlicht: (2024)

Nevermind: Instruction Override and Moderation in Large Language Models
von: Kim, Edward
Veröffentlicht: (2024)

MPIB: A Benchmark for Medical Prompt Injection Attacks and Clinical Safety in LLMs
von: Lee, Junhyeok, et al.
Veröffentlicht: (2026)