Copertina

Foundation Models for Clinical Records at Health System Scale

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Rajamohan, Haresh Rengaraj, Gao, Xiang, Zhu, Weicheng, Huang, Shih-Lun, Chen, Long, Cho, Kyunghyun, Deniz, Cem M., Razavian, Narges
Natura:	Preprint
Pubblicazione:	2025
Soggetti:	Machine Learning
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

Scaling Recurrence-aware Foundation Models for Clinical Records via Next-Visit Prediction
di: Rajamohan, Haresh Rengaraj, et al.
Pubblicazione: (2026)

Self-Supervised Learning for Knee Osteoarthritis: Diagnostic Limitations and Prognostic Value of Hospital Data
di: Rajamohan, Haresh Rengaraj, et al.
Pubblicazione: (2026)

A Progressive Risk Formulation for Enhanced Deep Learning based Total Knee Replacement Prediction in Knee Osteoarthritis
di: Rajamohan, Haresh Rengaraj, et al.
Pubblicazione: (2024)

Predicting Alzheimer’s Diseases and Related Dementias in 3‐year timeframe with AI Foundation Model on Electronic Health Records
di: Weicheng Zhu, et al.
Pubblicazione: (2024)

MR-Transformer: Vision Transformer for Total Knee Replacement Prediction Using Magnetic Resonance Imaging
di: Zhang, Chaojie, et al.
Pubblicazione: (2024)

HIST-AID: Leveraging Historical Patient Reports for Enhanced Multi-Modal Automatic Diagnosis
di: Huang, Haoxu, et al.
Pubblicazione: (2024)

3D Foundation Model for Generalizable Disease Detection in Head Computed Tomography
di: Zhu, Weicheng, et al.
Pubblicazione: (2025)

Estimation of Time-to-Total Knee Replacement Surgery
di: Cigdem, Ozkan, et al.
Pubblicazione: (2024)

Oil spill environmental risk assessment of stationary sources in offshore zones (Innovating a mathematical model)
di: Razavian, Fateme
Pubblicazione: (2010)

A Brief Introduction to Causal Inference in Machine Learning
di: Cho, Kyunghyun
Pubblicazione: (2024)

Machine Learning: a Lecture Note
di: Cho, Kyunghyun
Pubblicazione: (2025)

Why Knowledge Distillation Works in Generative Models: A Minimal Working Explanation
di: Cha, Sungmin, et al.
Pubblicazione: (2025)

Identification and evaluation of human errors in industrial control room using SHERPA method (case study: Safola‐Behshahr Industrial Company)
di: Farshad Golabipour, et al.
Pubblicazione: (2025)

System-Level Natural Language Feedback
di: Yuan, Weizhe, et al.
Pubblicazione: (2023)

Scaling Laws Are Unreliable for Downstream Tasks: A Reality Check
di: Lourie, Nicholas, et al.
Pubblicazione: (2025)

Aligning Robot Navigation Behaviors with Human Intentions and Preferences
di: Karnan, Haresh
Pubblicazione: (2024)

Deconfinement to confinement by generalizing BRST symmetry on the sphere
di: Raval, Haresh
Pubblicazione: (2024)

Service Oriented Computing in Practice - An Agenda for Research into the Factors Influencing the Organizational Adoption of Service Oriented Architectures
di: Haresh Luthria
Pubblicazione: (2009)

Culture Roots Vs. Modernity in Mahesh Elkunchwar’s Old Stone Mansion
di: Haresh Kakde
Pubblicazione: (2017)

Why Alignment Must Precede Distillation: A Minimal Working Explanation
di: Cha, Sungmin, et al.
Pubblicazione: (2025)

Non-convolutional Graph Neural Networks
di: Wang, Yuanqing, et al.
Pubblicazione: (2024)

Hyperparameters in Continual Learning: A Reality Check
di: Cha, Sungmin, et al.
Pubblicazione: (2024)

Meta-Statistical Learning: Supervised Learning of Statistical Estimators
di: Peyrard, Maxime, et al.
Pubblicazione: (2025)

Language Models as Causal Effect Generators
di: Bynum, Lucius E. J., et al.
Pubblicazione: (2024)

Characterizing the Predictive Impact of Modalities with Supervised Latent-Variable Modeling
di: Madaan, Divyam, et al.
Pubblicazione: (2026)

Advances in Photocatalytic CO 2 Conversion and Reduction Under Solar Energy Irradiation: An Overview
di: Rudra P. Singh, et al.
Pubblicazione: (2026)

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

RadHARSimulator V1: Model-Based FMCW Radar Human Activity Recognition Simulator
di: Gao, Weicheng
Pubblicazione: (2025)

Applications of Large Scale Foundation Models for Autonomous Driving
di: Huang, Yu, et al.
Pubblicazione: (2023)

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

Generative Foundation Model for Structured and Unstructured Electronic Health Records
di: Sivarajkumar, Sonish, et al.
Pubblicazione: (2025)

Active and Passive Causal Inference Learning
di: Im, Daniel Jiwoong, et al.
Pubblicazione: (2023)

Efficient semantic uncertainty quantification in language models via diversity-steered sampling
di: Park, Ji Won, et al.
Pubblicazione: (2025)

Training Language Models with Language Feedback at Scale
di: Scheurer, Jérémy, et al.
Pubblicazione: (2023)

Generalist Foundation Models Are Not Clinical Enough for Hospital Operations
di: Jiang, Lavender Y., et al.
Pubblicazione: (2025)

Retrieval-aligned Tabular Foundation Models Enable Robust Clinical Risk Prediction in Electronic Health Records Under Real-world Constraints
di: Pham, Minh-Khoi, et al.
Pubblicazione: (2026)

Latent State Models of Training Dynamics
di: Hu, Michael Y., et al.
Pubblicazione: (2023)

MentalAgora: A Gateway to Advanced Personalized Care in Mental Health through Multi-Agent Debating and Attribute Control
di: Lee, Yeonji, et al.
Pubblicazione: (2024)

Machine Learning Approaches to Clinical Risk Prediction: Multi-Scale Temporal Alignment in Electronic Health Records
di: Chang, Wei-Chen, et al.
Pubblicazione: (2025)

CLIMB: Data Foundations for Large Scale Multimodal Clinical Foundation Models
di: Dai, Wei, et al.
Pubblicazione: (2025)