Buchumschlag

Automated Fusion of Multimodal Electronic Health Records for Better Medical Predictions

Fuente: arXiv

Gespeichert in:

Bibliographische Detailangaben
Hauptverfasser:	Cui, Suhan, Wang, Jiaqi, Zhong, Yuan, Liu, Han, Wang, Ting, Ma, Fenglong
Format:	Preprint
Veröffentlicht:	2024
Schlagworte:	Machine Learning Artificial Intelligence
Online-Zugang:	Acceder al recurso
Tags:	Tag hinzufügen Keine Tags, Fügen Sie den ersten Tag hinzu!

Ähnliche Einträge

Recent Advances in Predictive Modeling with Electronic Health Records
von: Wang, Jiaqi, et al.
Veröffentlicht: (2024)

Synthesizing Multimodal Electronic Health Records via Predictive Diffusion Models
von: Zhong, Yuan, et al.
Veröffentlicht: (2024)

Automated Multi-Task Learning for Joint Disease Prediction on Electronic Health Records
von: Cui, Suhan, et al.
Veröffentlicht: (2024)

FEDKIM: Adaptive Federated Knowledge Injection into Medical Foundation Models
von: Wang, Xiaochen, et al.
Veröffentlicht: (2024)

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

Predictive Modeling with Temporal Graphical Representation on Electronic Health Records
von: Chen, Jiayuan, et al.
Veröffentlicht: (2024)

Benchmarking Foundation Models with Multimodal Public Electronic Health Records
von: Yu, Kunyu, et al.
Veröffentlicht: (2025)

BIPEFT: Budget-Guided Iterative Search for Parameter Efficient Fine-Tuning of Large Pretrained Language Models
von: Chang, Aofei, et al.
Veröffentlicht: (2024)

Zero-shot Medical Event Prediction Using a Generative Pre-trained Transformer on Electronic Health Records
von: Redekop, Ekaterina, et al.
Veröffentlicht: (2025)

Towards Collaborative Fairness in Federated Learning Under Imbalanced Covariate Shift
von: Yu, Tianrun, et al.
Veröffentlicht: (2025)

Early Risk Prediction of Pediatric Cardiac Arrest from Electronic Health Records via Multimodal Fused Transformer
von: Lu, Jiaying, et al.
Veröffentlicht: (2025)

CTPD: Cross-Modal Temporal Pattern Discovery for Enhanced Multimodal Electronic Health Records Analysis
von: Wang, Fuying, et al.
Veröffentlicht: (2024)

Early Detection of Pancreatic Cancer Using Multimodal Learning on Electronic Health Records
von: Aouad, Mosbah, et al.
Veröffentlicht: (2025)

Annotation-Assisted Learning of Treatment Policies From Multimodal Electronic Health Records
von: Arno, Henri, et al.
Veröffentlicht: (2025)

Imputation of Unknown Missingness in Sparse Electronic Health Records
von: Han, Jun, et al.
Veröffentlicht: (2026)

MEDMKG: Benchmarking Medical Knowledge Exploitation with Multimodal Knowledge Graph
von: Wang, Xiaochen, et al.
Veröffentlicht: (2025)

CoRelation: Boosting Automatic ICD Coding Through Contextualized Code Relation Learning
von: Luo, Junyu, et al.
Veröffentlicht: (2024)

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

Foundation Model of Electronic Medical Records for Adaptive Risk Estimation
von: Renc, Pawel, et al.
Veröffentlicht: (2025)

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

Deep Learning with Information Fusion and Model Interpretation for Health Monitoring of Fetus based on Long-term Prenatal Electronic Fetal Heart Rate Monitoring Data
von: Lin, Zenghui, et al.
Veröffentlicht: (2024)

Cross-Representation Benchmarking in Time-Series Electronic Health Records for Clinical Outcome Prediction
von: Chen, Tianyi, et al.
Veröffentlicht: (2025)

Multi-task Heterogeneous Graph Learning on Electronic Health Records
von: Chan, Tsai Hor, et al.
Veröffentlicht: (2024)

Dynamical Label Augmentation and Calibration for Noisy Electronic Health Records
von: Li, Yuhao, et al.
Veröffentlicht: (2025)

Multimodal Fusion of EHR in Structures and Semantics: Integrating Clinical Records and Notes with Hypergraph and LLM
von: Cui, Hejie, et al.
Veröffentlicht: (2024)

Efficient Multi-Task Modeling through Automated Fusion of Trained Models
von: Zhou, Jingxuan, et al.
Veröffentlicht: (2025)

Precision Rehabilitation for Patients Post-Stroke based on Electronic Health Records and Machine Learning
von: Gao, Fengyi, et al.
Veröffentlicht: (2024)

Temporal Subtyping of Alzheimer's Disease Using Medical Conditions Preceding Alzheimer's Disease Onset in Electronic Health Records
von: He, Zhe, et al.
Veröffentlicht: (2022)

Developing the Temporal Graph Convolutional Neural Network Model to Predict Hip Replacement using Electronic Health Records
von: Hancox, Zoe, et al.
Veröffentlicht: (2024)

When Validation Fails: Cross-Institutional Blood Pressure Prediction and the Limits of Electronic Health Record-Based Models
von: Azam, Md Basit, et al.
Veröffentlicht: (2025)

Early Prediction of Multi-Label Care Escalation Triggers in the Intensive Care Unit Using Electronic Health Records
von: Bukhari, Syed Ahmad Chan, et al.
Veröffentlicht: (2025)

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

Unmasking Bias in AI: A Systematic Review of Bias Detection and Mitigation Strategies in Electronic Health Record-based Models
von: Chen, Feng, et al.
Veröffentlicht: (2023)

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)

MolFusion: Multimodal Fusion Learning for Molecular Representations via Multi-granularity Views
von: Cai, Muzhen, et al.
Veröffentlicht: (2024)

Multimodal Health Risk Prediction System for Chronic Diseases via Vision-Language Fusion and Large Language Models
von: Lu, Dingxin, et al.
Veröffentlicht: (2025)

SynLeaF: A Dual-Stage Multimodal Fusion Framework for Synthetic Lethality Prediction Across Pan- and Single-Cancer Contexts
von: Xing, Zheming, et al.
Veröffentlicht: (2026)

T-LLM: Teaching Large Language Models to Forecast Time Series via Temporal Distillation
von: Guo, Suhan, et al.
Veröffentlicht: (2026)

Large Language Models for Drug Overdose Prediction from Longitudinal Medical Records
von: Nahian, Md Sultan Al, 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)