PharML 2023
Machine Learning for Pharma and Healthcare Applications
Workshop at ECML PKDD 2023
September 22, 2023
Location: Turin, Italy
Accepted Submissions
Ricardo Santos, Bruno M Ribeiro, Isabel Curioso, Marília Barandas, André V. Carreiro, Hugo Gamboa, Pedro Coelho, José Fragata, Inês Sousa. CORKI: A Correlation-driven Imputation Method for Partial Annotation Scenarios in Multi-Label Clinical Problems
Ole Fenske. Neuro-Symbolic Artificial Intelligence for Patient Monitoring
Samir B Chaves, Jose Macedo, Regis Magalhães, Lívia Cruz, Bruna Maia. Direct One-to-all Lead Conversion on 12-Lead Electrocardiogram.
Golnaz Taheri. Unveiling Driver Modules in Lung Cancer: A Clustering-Based Gene-Gene Interaction Network Analysis.
Costa Georgantas, Jonas Richiardi, Jaume Banus. A Systematic Study of Medication Effect on Hospitalization Rates in the UK Biobank.
Lucia Innocenti, Michela Antonelli, Francesco Cremonesi, Kenaan Sarhan, Alejandro Granados, Vicky Goh, Sebastien Ourselin, Marco Lorenzi. Benchmarking Collaborative Learning Methods Cost-Effectiveness for Prostate Segmentation.
Lena Mondrejevski, Daniel Azzopardi, Ioanna Miliou. Predicting Sepsis Onset with Deep Federated Learning.