Patient Trajectory Prediction: Integrating Clinical Notes with Transformers

Sifal Klioui, Sana Sellami, Youssef Trardi

2025

Abstract

Patient trajectory prediction from electronic health records (EHRs) is challenging due to the non-stationarity of medical data, the granularity of diagnostic codes, and the complexities of integrating multimodal information. While structured data, like diagnostic codes, capture key patient details, unstructured data, such as clinical notes, often hold complementary information overlooked by current approaches. We propose a transformer-based approach that integrates clinical note embeddings with structured EHR data for patient trajectory prediction. By combining these modalities, our model captures richer patient representations, improving predictive accuracy. Experiments on MIMIC-IV datasets show our approach significantly outperforms traditional models relying solely on structured data.

Paper Citation

in Harvard Style

Klioui S., Sellami S. and Trardi Y. (2025). Patient Trajectory Prediction: Integrating Clinical Notes with Transformers. In Proceedings of the 18th International Joint Conference on Biomedical Engineering Systems and Technologies - Volume 2: HEALTHINF; ISBN 978-989-758-731-3, SciTePress, pages 579-586. DOI: 10.5220/0013166500003911

in Bibtex Style

@conference{healthinf25,
author={Sifal Klioui and Sana Sellami and Youssef Trardi},
title={Patient Trajectory Prediction: Integrating Clinical Notes with Transformers},
booktitle={Proceedings of the 18th International Joint Conference on Biomedical Engineering Systems and Technologies - Volume 2: HEALTHINF},
year={2025},
pages={579-586},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0013166500003911},
isbn={978-989-758-731-3},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 18th International Joint Conference on Biomedical Engineering Systems and Technologies - Volume 2: HEALTHINF
TI - Patient Trajectory Prediction: Integrating Clinical Notes with Transformers
SN - 978-989-758-731-3
AU - Klioui S.
AU - Sellami S.
AU - Trardi Y.
PY - 2025
SP - 579
EP - 586
DO - 10.5220/0013166500003911
PB - SciTePress