mlsanityData to 7 Oct 2026

Recent Advances in Predictive Modeling with Electronic Health Records

arXiv 2402.01077 ↗First posted 2 Feb 2024cs.LG cs.AIcited by 11

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Abstract (arXiv)

The development of electronic health records (EHR) systems has enabled the collection of a vast amount of digitized patient data. However, utilizing EHR data for predictive modeling presents several challenges due to its unique characteristics. With the advancements in machine learning techniques, deep learning has demonstrated its superiority in various applications, including healthcare. This survey systematically reviews recent advances in deep learning-based predictive models using EHR data. Specifically, we begin by introducing the background of EHR data and providing a mathematical definition of the predictive modeling task. We then categorize and summarize predictive deep models from multiple perspectives. Furthermore, we present benchmarks and toolkits relevant to predictive modeling in healthcare. Finally, we conclude this survey by discussing open challenges and suggesting promising directions for future research.

Key facts. Cited by 11 papers in the map (data through 7 Oct 2026). Builds on 19 of its 48 references that are in the map. First posted on arXiv 2 Feb 2024.

Builds on

19 of 48 references.

References · 19

  1. 2017Attention Is All You Needcited by 59,932
  2. 2020Med-BERT: pre-trained contextualized embeddings on large-scale structured electronic health records for disease predictioncited by 368
  3. 2016RETAIN: An Interpretable Predictive Model for Healthcare using Reverse Time Attention Mechanismcited by 344
  4. 2019BEHRT: Transformer for Electronic Health Recordscited by 258
  5. 2015Doctor AI: Predicting Clinical Events via Recurrent Neural Networkscited by 205
  6. 2016GRAM: Graph-based Attention Model for Healthcare Representation Learningcited by 152
  7. 2018MedGAN: Medical Image Translation using GANscited by 152
  8. 2017Dipole: Diagnosis Prediction in Healthcare via Attention-based Bidirectional Recurrent Neural Networkscited by 114
  9. 2019ConCare: Personalized Clinical Feature Embedding via Capturing the Healthcare Contextcited by 56
  10. 2021Hi-BEHRT: Hierarchical Transformer-based model for accurate prediction of clinical events using multimodal longitudinal electronic health recordscited by 53
  11. 2018RAIM: Recurrent Attentive and Intensive Model of Multimodal Patient Monitoring Datacited by 47
  12. 2020StageNet: Stage-Aware Neural Networks for Health Risk Predictioncited by 47
7 more
  1. 2021MUFASA: Multimodal Fusion Architecture Search for Electronic Health Recordscited by 30
  2. 2020EVA: Generating Longitudinal Electronic Health Records Using Conditional Variational Autoencoderscited by 28
  3. 2021How to Leverage Multimodal EHR Data for Better Medical Predictions?cited by 26
  4. 2022PromptEHR: Conditional Electronic Healthcare Records Generation with Prompt Learningcited by 22
  5. 2023Hierarchical Pretraining on Multimodal Electronic Health Recordscited by 11
  6. 2024Automated Fusion of Multimodal Electronic Health Records for Better Medical Predictionscited by 3
  7. 2021ConCAD: Contrastive Learning-based Cross Attention for Sleep Apnea Detectioncited by 2

Built on by

Cited by year (2026 to 7 Oct)

Citing papers per year: 2024: 1; 2025: 6; 2026: 4.

11 papers.

  1. 2024EMERGE: Enhancing Multimodal Electronic Health Records Predictive Modeling with Retrieval-Augmented Generationcited by 16
  2. 2025MEDMKG: Benchmarking Medical Knowledge Exploitation with Multimodal Knowledge Graphcited by 2
  3. 2025Causal Explainability of Machine Learning in Heart Failure Prediction from Electronic Health Recordscited by 2
  4. 2025CURENet: Combining Unified Representations for Efficient Chronic Disease Predictioncited by 1
  5. 2026PyHealth 2.0: A Comprehensive Open-Source Toolkit for Accessible and Reproducible Clinical Deep Learningcited by 1
  6. 2026PaReGTA: A Temporally Aware LLM-Based Patient Representation Framework for EHR Analyticscited by 1
  7. 2025Revealing Interconnections between Diseases: from Statistical Methods to Large Language Modelscited by 0
  8. 2025Ensemble Deep Learning Models for Early Detection of Meningitis in ICU: Multi-center Studycited by 0
  9. 2025Early GVHD Prediction in Liver Transplantation via Multi-Modal Deep Learning on Imbalanced EHR Datacited by 0
  10. 2026A Practical Guide Towards Interpreting Time-Series Deep Clinical Predictive Models: A Reproducibility Studycited by 0
  11. 2026ATHENA: Knowledge-guided agentic neural architecture search for AutoFormer-based electronic health record modelingcited by 0