mlsanityData to 7 Oct 2026

Deepr: A Convolutional Net for Medical Records

arXiv 1607.07519 ↗First posted 26 Jul 2016stat.ML cs.LGcited by 59

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Abstract (arXiv)

Feature engineering remains a major bottleneck when creating predictive systems from electronic medical records. At present, an important missing element is detecting predictive regular clinical motifs from irregular episodic records. We present Deepr (short for Deep record), a new end-to-end deep learning system that learns to extract features from medical records and predicts future risk automatically. Deepr transforms a record into a sequence of discrete elements separated by coded time gaps and hospital transfers. On top of the sequence is a convolutional neural net that detects and combines predictive local clinical motifs to stratify the risk. Deepr permits transparent inspection and visualization of its inner working. We validate Deepr on hospital data to predict unplanned readmission after discharge. Deepr achieves superior accuracy compared to traditional techniques, detects meaningful clinical motifs, and uncovers the underlying structure of the disease and intervention space.

Key facts. Cited by 59 papers in the map (data through 7 Oct 2026). First posted on arXiv 26 Jul 2016.

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Citing papers per year: 2021: 19; 2022: 8; 2023: 7; 2024: 11; 2025: 4; 2026: 10.

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  1. 2021Time Series Prediction using Deep Learning Methods in Healthcarecited by 71
  2. 2023GraphCare: Enhancing Healthcare Predictions with Personalized Knowledge Graphscited by 57
  3. 2021Hi-BEHRT: Hierarchical Transformer-based model for accurate prediction of clinical events using multimodal longitudinal electronic health recordscited by 53
  4. 2022GenHPF: General Healthcare Predictive Framework with Multi-task Multi-source Learningcited by 35
  5. 2021Deep learning for temporal data representation in electronic health records: A systematic review of challenges and methodologiescited by 34
  6. 2023CPLLM: Clinical Prediction with Large Language Modelscited by 34
  7. 2021Collaborative Graph Learning with Auxiliary Text for Temporal Event Prediction in Healthcarecited by 30
  8. 2021Unifying Heterogeneous Electronic Health Records Systems via Text-Based Code Embeddingcited by 24
  9. 2021Context-aware Health Event Prediction via Transition Functions on Dynamic Disease Graphscited by 20
  10. 2024CORE-BEHRT: A Carefully Optimized and Rigorously Evaluated BEHRTcited by 20
  11. 2021Self-Supervised Graph Learning with Hyperbolic Embedding for Temporal Health Event Predictioncited by 15
  12. 2021An explainable Transformer-based deep learning model for the prediction of incident heart failurecited by 12
38 more
  1. 2024Dynamic Hypergraph-Enhanced Prediction of Sequential Medical Visitscited by 12
  2. 2022Graph-Text Multi-Modal Pre-training for Medical Representation Learningcited by 10
  3. 2022Targeted-BEHRT: Deep learning for observational causal inference on longitudinal electronic health recordscited by 9
  4. 2024TACCO: Task-guided Co-clustering of Clinical Concepts and Patient Visits for Disease Subtyping based on EHR Datacited by 7
  5. 2025Memorize and Rank: Elevating Large Language Models for Clinical Diagnosis Predictioncited by 6
  6. 2024Multi-task Heterogeneous Graph Learning on Electronic Health Recordscited by 5
  7. 2025Unveiling Discrete Clues: Superior Healthcare Predictions for Rare Diseasescited by 5
  8. 2021Supervised multi-specialist topic model with applications on large-scale electronic health record datacited by 4
  9. 2021MIPO: Mutual Integration of Patient Journey and Medical Ontology for Healthcare Representation Learningcited by 4
  10. 2022UniHPF : Universal Healthcare Predictive Framework with Zero Domain Knowledgecited by 4
  11. 2021Neural Clinical Event Sequence Prediction through Personalized Online Adaptive Learningcited by 3
  12. 2021Synthesizing time-series wound prognosis factors from electronic medical records using generative adversarial networkscited by 3
  13. 2022sEHR-CE: Language modelling of structured EHR data for efficient and generalizable patient cohort expansioncited by 3
  14. 2024Bridging Stepwise Lab-Informed Pretraining and Knowledge-Guided Learning for Diagnostic Reasoningcited by 3
  15. 2022AutoMap: Automatic Medical Code Mapping for Clinical Prediction Model Deploymentcited by 2
  16. 2024Large Language Model in Medical Informatics: Direct Classification and Enhanced Text Representations for Automatic ICD Codingcited by 2
  17. 2024Graph Neural Networks for Heart Failure Prediction on an EHR-Based Patient Similarity Graphcited by 2
  18. 2025ProtoEHR: Hierarchical Prototype Learning for EHR-based Healthcare Predictionscited by 2
  19. 2021Transfer Learning in Electronic Health Records through Clinical Concept Embeddingcited by 1
  20. 2021Identification of Pediatric Respiratory Diseases Using Fine-grained Diagnosis Systemcited by 1
  21. 2023Predicting Visit Cost of Obstructive Sleep Apnea using Electronic Healthcare Records with Transformercited by 1
  22. 2023Rediscovery of CNN's Versatility for Text-based Encoding of Raw Electronic Health Recordscited by 1
  23. 2023Personalized Event Prediction for Electronic Health Recordscited by 1
  24. 2024Time-aware Heterogeneous Graph Transformer with Adaptive Attention Merging for Health Event Predictioncited by 1
  25. 2024Introducing the Large Medical Model: State of the art healthcare cost and risk prediction with transformers trained on patient event sequencescited by 1
  26. 2024MPLite: Multi-Aspect Pretraining for Mining Clinical Health Recordscited by 1
  27. 2026PyHealth 2.0: A Comprehensive Open-Source Toolkit for Accessible and Reproducible Clinical Deep Learningcited by 1
  28. 2026User-Adaptive Meta-Learning for Cold-Start Medication Recommendation with Uncertainty Filteringcited by 1
  29. 2026PaReGTA: A Temporally Aware LLM-Based Patient Representation Framework for EHR Analyticscited by 1
  30. 2021Multi-view Integration Learning for Irregularly-sampled Clinical Time Seriescited by 0
  31. 2021Risk factor identification for incident heart failure using neural network distillation and variable selectioncited by 0
  32. 2021A Study into patient similarity through representation learning from medical recordscited by 0
  33. 2021Self-supervision for health insurance claims data: a Covid-19 use casecited by 0
  34. 2021Unifying Heterogeneous Electronic Health Records Systems via Text-Based Code Embeddingcited by 0
  35. 2022Learning to Adapt Clinical Sequences with Residual Mixture of Expertscited by 0
  36. 2022No Pairs Left Behind: Improving Metric Learning with Regularized Triplet Objectivecited by 0
  37. 2023Consensus of state of the art mortality prediction models: From all-cause mortality to sudden death predictioncited by 0
  38. 2023An Interpretable Deep-Learning Framework for Predicting Hospital Readmissions From Electronic Health Recordscited by 0

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