The 4th International Workshop on Pattern Recognition in Healthcare Analytics and Bioinformatics
In conjunction with the 28th International Conference on Pattern Recognition
Lyon, France - August 22, 2026
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Aim and Scope
Aim and Scope
The fourth PRHA workshop aims to continue showcasing the latest developments in pattern recognition for healthcare analytics. As an interdisciplinary domain, healthcare analytics comprises a wide range of data-driven techniques proposed for digital health data. Particularly, deep learning and machine learning frameworks are vital for various healthcare tasks, including risk prediction, disease progression modeling, subtyping and phenotyping, and medical image and text recognition. The scope of the workshop entails but is not limited to
Bioinformatics
Phenotyping and subtyping
Patient monitoring and machine learning in pervasive healthcare
Temporal modeling for disease progression
Interpretable models for clinical decision support
Privacy-preserving techniques for distributed and sensitive patient data
Medical image analysis
Healthcare analytics tasks constitute various challenges due to the complex nature of digital patient data. Traditional deep learning and machine learning techniques do not inherently address the challenges in patient data that are often heterogeneous, distributed, non-linear, and temporal. Furthermore, interpretability and explainability have become inevitable requirements to consider while designing models to address bioinformatics and biomedical informatics tasks. In summary, the proposed workshop aims to showcase original ideas on predictive modeling, clustering, feature extraction, temporal analysis, data visualization, and interpretability for patient data in tabular, text, and image formats.
Important Dates
Important Dates
Submission: May 15, 2026 May 24, 2026
Notification: June 15, 2026
Camera-ready: June 20, 2026
Workshop: August 22, 2026
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