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Automated Multimodal ML for Healthcare by sowmibuvi8 is a document available to read on EtoBox.

The article presents AutoPrognosis-M, a multimodal machine learning framework that integrates structured clinical data and medical imaging to enhance diagnostic and prognostic models in healthcare. It addresses the limitations of existing single-modality approaches by employing automated machine learning and ensemble learning techniques, enabling clinicians to develop models without extensive ML expertise. The framework is open-sourced to facilitate the adoption of multimodal machine learning in various med

Author
sowmibuvi8
Language
EN