Language models are an effective representation learning technique for electronic health record data

Cited by (135)

Items 101–135 of 135

1. TOO-BERT: A Trajectory Order Objective BERT for self-supervised representation learning of temporal healthcare data
   Ali Amirahmadi, Farzaneh Etminani, Jonas Björk, Olle Melander, Mattias Ohlsson · 2024 · Research Square
2. Taxonomy for federated learning in digital healthcare systems
   Friday Udeji, Samarendra Nath Sur, Vinoth Babu Kumaravelu, K.V.N. Kavitha · 2024 · Elsevier eBooks
3. An Imbalance-Aware Ensemble Model for Patient’s Mortality Prediction in Intensive Care Unit
   Anh Phan, Chau Thi Ngoc Vo · 2025 · Lecture notes in computer science
4. Large Language Models in Dermatology: A Systematic Review of Applications, Challenges, and Future Directions (Preprint)
   Xu Liu, Yutong Zou, Qingfeng Liu, Zilian Wang, Min-kyu Kim, Jun Tian, Yuwei Huang, Linghong Guo, Xian Li Jiang · 2025 · Journal of Medical Internet Research
5. LADDER: Latent Attention and Decomposition for Deep Enhanced Retrieval in Medical Question-Answering Systems
   Sidhaarth Murali, S. Sowmya Kamath, Vijayan Sugumaran · 2025 · Lecture notes in computer science
6. Data Driven Disease Dynamics Models
   Polina V. Banushkina, Sergei V. Krivov · 2025 · bioRxiv (Cold Spring Harbor Laboratory)
7. Differential diagnosis making with large language models and probabilistic logic program
   Boris A. Galitsky · 2025 · Elsevier eBooks
8. A method for characterizing disease progression from acute kidney injury to chronic kidney disease
   Yilu Fang, Jordan Gabriela Nestor, Casey Ta, Jerard Z Kneifati-Hayek, Chunhua Weng · 2025 · Journal of Biomedical Informatics
9. ContextCache: Task-Aware Lifecycle Management for Memory-Efficient LLM Agent Deployment
   Tao Liu, Ping Guo, Dong Feng, Peng Wang · 2025 · IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)
10. Multimorbidity measurement strategies for predicting hospital visits
    Bernardo Duque Neves, José M. Moreira, Simão Gonçalves, Jorge Cerejo, Inês Mota, Nuno A. Silva, Francisca Leite, Mário J. Silva · 2025 · BMC Health Services Research
11. Additional file 1 of Characterizing the limitations of using diagnosis codes in the context of machine learning for healthcare
    Lin Lawrence Guo, Keith Morse, Catherine C. Aftandilian, Ethan Steinberg, Jason Fries, Jose Posada, Scott L. Fleming, Joshua Lemmon, Karim Jessa, Nigam Haresh Shah et al. · 2024 · Figshare
12. Speaking the Same Traffic Language: A Florida – Tallinn Case Study in Cross-City Incident Prediction
    Mahtab Shahin, Soheila Saeidi, Avleen Kaur Malhi, Evangelos I. Kaisar, Sanja Bauk, Ralf-Martin Soe · 2025 · Communications in computer and information science
13. A perspective on foundation models in intensive care medicine
    Carl Harris, Samuel Schmidgall, Sampath Rapuri, Kevin Hwang, Michael Moor, Robert D. Stevens · 2026 · Artificial Intelligence in Medicine
14. Developing a multi-domain EHR foundation model for predicting Hepatitis B liver disease: a clinical perspective
    Caroline Weis, Filippo Grazioli, Giovanni Visonà, Adam Kania, Max F. Burg, Max Horn, Jonathan L. Golob, Patrick Schwab · 2026 · medRxiv
15. Augmenting Electronic Health Records for Adverse Event Detection
    Gün Kaynar, Zhaoyi You, Richard D. Boyce, Takahiro Yakoh, Carl Kingsford · 2026 · medRxiv
16. Empowering dialysis patients with human-computer interactions: Revolutionizing safety and experience with AI, mobile tech, and wearables
    Miguel Hueso, Rafael Alvarez, Horacio Saggion, Alfredo Vellido · 2026 · Elsevier eBooks
17. TransformKV: Optimizing Multi-Turn Conversational Services in LLMs via KV Cache Transformation
    Jiahang Zhou, Zhiyuan Fang, Yusheng Qin, Wuhui Chen, Tao Zhang, Chuanfu Zhang, Zibin Zheng · 2026 · IEEE Transactions on Computers
18. Automation Software Evaluation Using Median Regressive Sentiment Analysis
    Anil Chandrasekaran, Aweidha Alqubaisi · 2026 · International Conference on Sentiment Analysis and Deep Learning (ICSADL)
19. Trustworthy LLM-Embedding Clinical Prediction: Calibrating Confidence and Transparency for Foundation Model-Based Disease Risk Scores
    Yunguo Yu · 2026 · Research Square
20. Towards A Foundation Model for Clinical Voice Biomarkers
    Olivier Elemento, Alexandros Sigaras, Joseph T. Colonel, Iman Hajirasouliha, Satrajit Ghosh, Yael E. Bensoussan, Anaïs Rameau · 2026 · medRxiv
21. A multimodal generative model for structured and unstructured electronic health records
    Sonish Sivarajkumar, Hang Zhang, Yuelyu Ji, Maneesh Bilalpur, Xizhi Wu, Chenyu Li, Min Gu Kwak, Shyam Visweswaran, Yanshan Wang · 2026 · npj Health Systems
22. AI-based multimodal integration of genomics and electronic health records
    Rasika Venkatesh, Marylyn DeRiggi Ritchie · 2026 · Nature Reviews Genetics
23. Longitudinal Clinical Foundation Models Augmented with Genomics for Early Detection and Risk Stratification of Inherited Cardiomyopathy
    Andrew Zolensky, Colleen Morse Kripke, Karl Keat, Scott M. Damrauer, Michael G. Levin, Anurag Verma · 2026 · medRxiv
24. A Foundation Model for Pharmacokinetic and Pharmacodynamic Trajectories with Mechanistic Constraints, Missingness Awareness, and Calibrated Uncertainty
    Nokuthula Dlamini, Sipho Zulu, Thabo Nkosi, Lerato Molefe · 2026 · International Journal Of Pharmaceutical Research And Allied Sciences
25. A Natural Language–Driven Clinical Risk Intelligence Layer for EHR Ecosystems
    Hiroshi Tanaka, Yuki Sato, Kenji Mori, Rina Okabe, Takashi Ito · 2022 · Journal of Artificial Intelligence for Healthcare Systems
26. Foundation Models for Healthcare Systems Analytics from 2017 to 2026: A Review of Multimodal Pretraining for Patient Flow Prediction, Documentation Burden Estimation, Resource Allocation, and Operational Risk Forecasting
    Chen Li, Wang Yu, Wei Zhang · 2026 · Journal of Health Informatics and Digital Systems
27. Multimodal Foundation Model for Predicting Care Delivery Delays Using Electronic Health Record Events, Operational Logs, Staff Assignments, Patient Messages, Facility Capacity Indicators, and Service Queue Data
    Minh Tran, Duc Pham · 2026 · Journal of Health Informatics and Digital Systems
28. Expert-defined features remain competitive with foundation models in predicting Crohn’s-like disease of the pouch
    Jan Carlo Schmid, Susanne Ibing, Stefan Kalabakov, Katharina Alefs, Robin P. van de Water, Arkadiusz Kwasigroch, Eugenia Alleva, Bert Arnrich A, Bernhard Y. Renard, Maia Kayal · 2026 · Scientific Reports
29. AI-driven precision medicine for lysosomal storage disorders: Innovations in diagnosis and therapeutics
    Rahaf M Ahmad, Batool M. Ahmad, Feda E. Mohamed, Muhammad Jalal Khan, Fatma A. Al-Jasmi, Bassam R. Ali · 2026 · Genes & Diseases
30. Cross-continental generalizability of EHR foundation model: predicting length of stay in an Italian hospital using US-trained embeddings
    Giovanna Nicora, Francesca Negri, Valentina Tibollo, Alberto L. Malovini, Arianna Dagliati, Lucia Sacchi, Federico Sottotetti, P Baiardi, Riccardo Bellazzi · 2026 · Frontiers in Digital Health
31. Foundation Models and Multimodal Learning for Medical Data with Applications in Oncology
    Asim Waqas, Aakash Tripathi, Siddharth Sivaram, Farzana Ali, Shiba Kuanar, Yashbir Singh, Hanieh Ajami, Orhan Ünal, Yuankai Huo, Abdussalam Elhanashi et al. · 2026 · Journal of Imaging Informatics in Medicine
32. FERMAT: An Autoregressive Clinical Foundation Model for Disease Risk and Clinical Event Prediction
    Jaegyun Jung, Hyeonhoon Lee · 2026 · medRxiv
33. Augmenting electronic health records for adverse event detection
    Gün Kaynar, Zhaoyi You, Richard D. Boyce, Takahiro Yakoh, Carl Kingsford · 2026 · Journal of Biomedical Informatics
34. Numeric versus embedding pipelines for optimized clinical risk prediction
    Aaron Ge, Jialong Wu, Xueyao Wu, Jeya Balaji Balasubramanian, Varun Nautiyal, Rishi Jayakumar, Chy Murali, Angela Lee, Andrew Nguyen, Matthew Allen et al. · 2026 · JAMIA Open
35. Evaluating Intensive Care Unit Patient Trajectory Representations Using a Temporal Entity-Attribute-Value Schema: a Retrospective Multicenter Benchmarking Study (Preprint)
    Dimitrios Proios, Alban Bornet, Yamil Vindas, Yugang Jia, Hervé Quintard, Arkadiusz Sitek, Douglas Teodoro · 2026