The 3rd International Workshop on Pattern Recognition in Healthcare Analytics
In conjunction with the 27th International Conference on Pattern Recognition
Aim and Scope
The third 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
Submission: August 12, 2024 August 19, 2024, September 1, 2024 (final extension)
Notification: September 17, 2024 September 19, 2024
Camera-ready: September 27, 2024
Workshop: December 1, 2024
Sponsor
