Image credit: Diego Delso, delso.photo, License CC BY-SA
Workshop on Responsible Healthcare using Machine Learning 2025
Sep 19, 2025
co-located with ECML PKDD, Porto, Portugal
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Paper ID: 22
MedFusion-LM: Explainable Large Language Model for Transforming Medical Outcomes in Federated Learning with Neural Architecture Search Blueprints
Diogen Babuc*; Teodor-Florin Fortiş
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Paper ID: 84
DBSCAN clustering applied to electronic health records' data from patients with glioblastoma
Davide Chicco*; Luca Oneto
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Paper ID: 310
Positive-Unlabeled Learning for User-Centred XAI: a Case Study in Healthcare
Iris Heerlien*; Selin Çolakhasanoglu; Jeroen Linssen
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Paper ID: 337
Challenges in Explaining Pretrained Clinical Text Classifiers
Kristian Miok*; Matej Klemen; Blaz Skrlj; Marko Robnik-Sikonja
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Paper ID: 339
Privacy-Preserving AI-based Glaucoma Referral using Multi-Centric Real-World Data: A Feasibility study
Filipe Soares*; Telmo Barbosa; João Barbosa-Breda; Luís Abegão Pinto; Carlos Marques-Neves
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Paper ID: 347
Gender Prediction from Polish Ethnicity Fundus Images using Foundation Model
Paweł Niedziółka*; Paweł Zyblewski; Andrzej Grzybowski; Michał Woźniak
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Paper ID: 350
Voices Between Lines: Interpretable Labeling of Mental Health Minority Topics with Seed Guidance and LLMs
Seyedeh Fatemeh Ebrahimi*; Jaakko Peltonen
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Paper ID: 432
A Comparative Study on the Responsible Use of Public LLMs for Self-Diagnosis
Nikil Sharan Prabahar Balasubramanian, Sagnik Dakshit*
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Paper ID: 436
A Privacy-Centric Approach: Scalable and Secure Federated Learning Enabled by Hybrid Homomorphic Encryption
Khoa Nguyen; Tanveer Khan*; Antonis Michalas
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Paper ID: 438
Characterizing Publicly Available Tabular Health Data Sets for Responsible Machine Learning
Mariana Oliveira*; Carlos Soares