Early Prediction of Multi-Label Care Escalation Triggers in the Intensive Care Unit Using Electronic Health Records
Fuente:
arXiv
Guardado en:
| Autores principales: | Bukhari, Syed Ahmad Chan, Singh, Amritpal, Hossain, Shifath, Wajahat, Iram |
|---|---|
| Formato: | Preprint |
| Publicado: |
2025
|
| Materias: | |
| Acceso en línea: | |
| Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
A Machine Learning Framework for Pathway-Driven Therapeutic Target Discovery in Metabolic Disorders
por: Wajahat, Iram, et al.
Publicado: (2025)
por: Wajahat, Iram, et al.
Publicado: (2025)
Accelerating Medical Knowledge Discovery through Automated Knowledge Graph Generation and Enrichment
por: Khalid, Mutahira, et al.
Publicado: (2024)
por: Khalid, Mutahira, et al.
Publicado: (2024)
Benchmarking LLMs for Predictive Applications in the Intensive Care Units
por: Malhotra, Chehak, et al.
Publicado: (2025)
por: Malhotra, Chehak, et al.
Publicado: (2025)
GraphPrint: Extracting Features from 3D Protein Structure for Drug Target Affinity Prediction
por: Singh, Amritpal
Publicado: (2024)
por: Singh, Amritpal
Publicado: (2024)
AI-Enhanced Intensive Care Unit: Revolutionizing Patient Care with Pervasive Sensing
por: Nerella, Subhash, et al.
Publicado: (2023)
por: Nerella, Subhash, et al.
Publicado: (2023)
A Narrative-Driven Computational Framework for Clinician Burnout Surveillance
por: Bukhari, Syed Ahmad Chan, et al.
Publicado: (2025)
por: Bukhari, Syed Ahmad Chan, et al.
Publicado: (2025)
PULSE-ICU: A Pretrained Unified Long-Sequence Encoder for Multi-task Prediction in Intensive Care Units
por: Jang, Sejeong, et al.
Publicado: (2025)
por: Jang, Sejeong, et al.
Publicado: (2025)
Robust Real-Time Mortality Prediction in the Intensive Care Unit using Temporal Difference Learning
por: Frost, Thomas, et al.
Publicado: (2024)
por: Frost, Thomas, et al.
Publicado: (2024)
APRICOT-Mamba: Acuity Prediction in Intensive Care Unit (ICU): Development and Validation of a Stability, Transitions, and Life-Sustaining Therapies Prediction Model
por: Contreras, Miguel, et al.
Publicado: (2023)
por: Contreras, Miguel, et al.
Publicado: (2023)
Multi-task Heterogeneous Graph Learning on Electronic Health Records
por: Chan, Tsai Hor, et al.
Publicado: (2024)
por: Chan, Tsai Hor, et al.
Publicado: (2024)
An Algorithmic Approach for Causal Health Equity: A Look at Race Differentials in Intensive Care Unit (ICU) Outcomes
por: Plecko, Drago, et al.
Publicado: (2025)
por: Plecko, Drago, et al.
Publicado: (2025)
A Unified AI Approach for Continuous Monitoring of Human Health and Diseases from Intensive Care Unit to Home with Physiological Foundation Models (UNIPHY+)
por: Wang, Minxiao, et al.
Publicado: (2025)
por: Wang, Minxiao, et al.
Publicado: (2025)
Detecting Visual Cues in the Intensive Care Unit and Association with Patient Clinical Status
por: Nerella, Subhash, et al.
Publicado: (2023)
por: Nerella, Subhash, et al.
Publicado: (2023)
Leveraging Computer Vision in the Intensive Care Unit (ICU) for Examining Visitation and Mobility
por: Siegel, Scott, et al.
Publicado: (2024)
por: Siegel, Scott, et al.
Publicado: (2024)
Early Detection of Pancreatic Cancer Using Multimodal Learning on Electronic Health Records
por: Aouad, Mosbah, et al.
Publicado: (2025)
por: Aouad, Mosbah, et al.
Publicado: (2025)
A Dataset and Benchmarks for Atrial Fibrillation Detection from Electrocardiograms of Intensive Care Unit Patients
por: Nassar, Sarah, et al.
Publicado: (2025)
por: Nassar, Sarah, et al.
Publicado: (2025)
Dynamical Label Augmentation and Calibration for Noisy Electronic Health Records
por: Li, Yuhao, et al.
Publicado: (2025)
por: Li, Yuhao, et al.
Publicado: (2025)
Developing and Evaluating an AI-Assisted Prediction Model for Unplanned Intensive Care Admissions following Elective Neurosurgery using Natural Language Processing within an Electronic Healthcare Record System
por: Ive, Julia, et al.
Publicado: (2025)
por: Ive, Julia, et al.
Publicado: (2025)
ColaCare: Enhancing Electronic Health Record Modeling through Large Language Model-Driven Multi-Agent Collaboration
por: Wang, Zixiang, et al.
Publicado: (2024)
por: Wang, Zixiang, et al.
Publicado: (2024)
Severity Classification of Chronic Obstructive Pulmonary Disease in Intensive Care Units: A Semi-Supervised Approach Using MIMIC-III Dataset
por: Shojaei, Akram, et al.
Publicado: (2025)
por: Shojaei, Akram, et al.
Publicado: (2025)
ExOSITO: Explainable Off-Policy Learning with Side Information for Intensive Care Unit Blood Test Orders
por: Ji, Zongliang, et al.
Publicado: (2025)
por: Ji, Zongliang, et al.
Publicado: (2025)
Recent Advances in Predictive Modeling with Electronic Health Records
por: Wang, Jiaqi, et al.
Publicado: (2024)
por: Wang, Jiaqi, et al.
Publicado: (2024)
Intensive Care as One Big Sequence Modeling Problem
por: Liventsev, Vadim, et al.
Publicado: (2024)
por: Liventsev, Vadim, et al.
Publicado: (2024)
On Safer Reinforcement Learning for Sedation and Analgesia in Intensive Care
por: Romero-Hernandez, Joel, et al.
Publicado: (2026)
por: Romero-Hernandez, Joel, et al.
Publicado: (2026)
Early Risk Prediction of Pediatric Cardiac Arrest from Electronic Health Records via Multimodal Fused Transformer
por: Lu, Jiaying, et al.
Publicado: (2025)
por: Lu, Jiaying, et al.
Publicado: (2025)
When Validation Fails: Cross-Institutional Blood Pressure Prediction and the Limits of Electronic Health Record-Based Models
por: Azam, Md Basit, et al.
Publicado: (2025)
por: Azam, Md Basit, et al.
Publicado: (2025)
Predictive Modeling with Temporal Graphical Representation on Electronic Health Records
por: Chen, Jiayuan, et al.
Publicado: (2024)
por: Chen, Jiayuan, et al.
Publicado: (2024)
Imputation of Unknown Missingness in Sparse Electronic Health Records
por: Han, Jun, et al.
Publicado: (2026)
por: Han, Jun, et al.
Publicado: (2026)
Automated Fusion of Multimodal Electronic Health Records for Better Medical Predictions
por: Cui, Suhan, et al.
Publicado: (2024)
por: Cui, Suhan, et al.
Publicado: (2024)
Toward Semantic Interoperability of Electronic Health Records
por: Berges, Idoia, et al.
Publicado: (2024)
por: Berges, Idoia, et al.
Publicado: (2024)
Towards Error-Free EHRs: Reasoning-Intensive Consistency Verification Between Clinical Notes and Structured Tables in Electronic Health Records
por: Kwon, Yeonsu, et al.
Publicado: (2026)
por: Kwon, Yeonsu, et al.
Publicado: (2026)
Zero-shot Medical Event Prediction Using a Generative Pre-trained Transformer on Electronic Health Records
por: Redekop, Ekaterina, et al.
Publicado: (2025)
por: Redekop, Ekaterina, et al.
Publicado: (2025)
Electronic Health Records: Towards Digital Twins in Healthcare
por: Alkan, Muhammet, et al.
Publicado: (2025)
por: Alkan, Muhammet, et al.
Publicado: (2025)
Early Prediction of Alzheimers Disease Leveraging Symptom Occurrences from Longitudinal Electronic Health Records of US Military Veterans
por: Li, Rumeng, et al.
Publicado: (2023)
por: Li, Rumeng, et al.
Publicado: (2023)
Evaluation of General Large Language Models in Contextually Assessing Semantic Concepts Extracted from Adult Critical Care Electronic Health Record Notes
por: Liu, Darren, et al.
Publicado: (2024)
por: Liu, Darren, et al.
Publicado: (2024)
Trustworthy Agents for Electronic Health Records through Confidence Estimation
por: Song, Yongwoo, et al.
Publicado: (2025)
por: Song, Yongwoo, et al.
Publicado: (2025)
A Comprehensive Benchmark for COVID-19 Predictive Modeling Using Electronic Health Records in Intensive Care
por: Gao, Junyi, et al.
Publicado: (2022)
por: Gao, Junyi, et al.
Publicado: (2022)
EveryQuery: Zero-Shot Clinical Prediction via Task-Conditioned Pretraining over Electronic Health Records
por: Chandak, Payal, et al.
Publicado: (2026)
por: Chandak, Payal, et al.
Publicado: (2026)
Improving Mortality Prediction After Radiotherapy with Large Language Model Structuring of Large-Scale Unstructured Electronic Health Records
por: Park, Sangjoon, et al.
Publicado: (2024)
por: Park, Sangjoon, et al.
Publicado: (2024)
Exploring the Requirements of Clinicians for Explainable AI Decision Support Systems in Intensive Care
por: Clark, Jeffrey N., et al.
Publicado: (2024)
por: Clark, Jeffrey N., et al.
Publicado: (2024)
Ejemplares similares
-
A Machine Learning Framework for Pathway-Driven Therapeutic Target Discovery in Metabolic Disorders
por: Wajahat, Iram, et al.
Publicado: (2025) -
Accelerating Medical Knowledge Discovery through Automated Knowledge Graph Generation and Enrichment
por: Khalid, Mutahira, et al.
Publicado: (2024) -
Benchmarking LLMs for Predictive Applications in the Intensive Care Units
por: Malhotra, Chehak, et al.
Publicado: (2025) -
GraphPrint: Extracting Features from 3D Protein Structure for Drug Target Affinity Prediction
por: Singh, Amritpal
Publicado: (2024) -
AI-Enhanced Intensive Care Unit: Revolutionizing Patient Care with Pervasive Sensing
por: Nerella, Subhash, et al.
Publicado: (2023)