mlsanityData to 7 Oct 2026

Risk Horizons: Structured Hypothesis Spaces for Longitudinal Clinical Prediction

arXiv 2602.12828 ↗First posted 13 Feb 2026cs.LG cs.AIcited by 0

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Abstract (arXiv)

Predicting future clinical events from longitudinal electronic health records (EHRs) requires selecting plausible outcomes from a large and structured event space under sparse observations. While clinical coding systems provide hierarchical organization of events, cross-modal and temporal relationships are not explicitly specified and must instead be inferred from data, making prediction difficult for weakly observed longitudinal transitions. We introduce Risk Horizons, a geometry-aware framework for constructing patient-specific candidate spaces for multi-modal next-visit prediction. Risk Horizons combines deterministic coding hierarchies with data-driven lagged cross-modal associations, embeds the resulting clinical graph in hyperbolic space, and retrieves candidate futures using directional risk cones. This reframes longitudinal prediction as ranking within a compact, clinically coherent hypothesis space rather than scoring an unconstrained vocabulary. Experiments on MIMIC-IV and eICU demonstrate competitive next-visit prediction performance, with consistently improved hierarchy consistency across diagnoses, procedures, and medications. Further analysis suggests that hyperbolic structured candidate retrieval is the primary driver of performance, while LLMs are effective as constrained inference-time rerankers operating over clinically grounded candidate sets.

Key facts. No citing papers in the map yet (data through 7 Oct 2026). Builds on 33 of its 50 references that are in the map. First posted on arXiv 13 Feb 2026.

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33 of 50 references.

References · 33

  1. 2017Attention Is All You Needcited by 59,932
  2. 2024The Llama 3 Herd of Modelscited by 14,192
  3. 2020Retrieval-Augmented Generation for Knowledge-Intensive NLP Taskscited by 9,160
  4. 2020REALM: Retrieval-Augmented Language Model Pre-Trainingcited by 2,126
  5. 2022Survey of Hallucination in Natural Language Generationcited by 2,056
  6. 2022Large Language Models Encode Clinical Knowledgecited by 1,807
  7. 2024Mixtral of Expertscited by 1,785
  8. 2017Poincar'e Embeddings for Learning Hierarchical Representationscited by 674
  9. 2023Unifying Large Language Models and Knowledge Graphs: A Roadmapcited by 663
  10. 2023Capabilities of GPT-4 on Medical Challenge Problemscited by 630
  11. 2016Recurrent Neural Networks for Multivariate Time Series with Missing Valuescited by 548
  12. 2019Hyperbolic Graph Convolutional Neural Networkscited by 400
21 more
  1. 2018Hyperbolic Neural Networkscited by 393
  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. 2024Benchmarking Retrieval-Augmented Generation for Medicinecited by 326
  5. 2017Multitask learning and benchmarking with clinical time series datacited by 287
  6. 2018Scalable and accurate deep learning for electronic health recordscited by 275
  7. 2023MEDITRON-70B: Scaling Medical Pretraining for Large Language Modelscited by 272
  8. 2019BEHRT: Transformer for Electronic Health Recordscited by 258
  9. 2019Hyperbolic Graph Neural Networkscited by 244
  10. 2015Doctor AI: Predicting Clinical Events via Recurrent Neural Networkscited by 205
  11. 2016GRAM: Graph-based Attention Model for Healthcare Representation Learningcited by 152
  12. 2019Pre-training of Graph Augmented Transformers for Medication Recommendationcited by 124
  13. 2015Learning to Diagnose with LSTM Recurrent Neural Networkscited by 99
  14. 2023MOTOR: A Time-To-Event Foundation Model For Structured Medical Recordscited by 75
  15. 2024Context Clues: Evaluating Long Context Models for Clinical Prediction Tasks on EHRscited by 39
  16. 2016DeepCare: A Deep Dynamic Memory Model for Predictive Medicinecited by 32
  17. 2021Self-Supervised Graph Learning with Hyperbolic Embedding for Temporal Health Event Predictioncited by 15
  18. 2019MedGCN: Medication recommendation and lab test imputation via graph convolutional networkscited by 9
  19. 2024Predictive Modeling with Temporal Graphical Representation on Electronic Health Recordscited by 9
  20. 2025MediEval: A Unified Medical Benchmark for Patient-Contextual and Knowledge-Grounded Reasoning in LLMscited by 4
  21. 2018Learning Contextual Hierarchical Structure of Medical Concepts with Poincair'e Embeddings to Clarify Phenotypescited by 2

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