Carlo Sansone

TaughtNet: Learning Multi-Task Biomedical Named Entity Recognition From Single-Task Teachers

2023 · IEEE Journal of Biomedical and Health Informatics

In Biomedical Named Entity Recognition (BioNER), the use of current cutting-edge deep learning-based methods, such as deep bidirectional transformers (e.g. BERT, GPT-3), can be substantially hampered by the absence of publicly accessible annotated datasets. When …

A Multimodal Machine Learning Model in Pneumonia Patients Hospital Length of Stay Prediction

2024 · Big Data and Cognitive Computing

Hospital overcrowding, driven by both structural management challenges and widespread medical emergencies, has prompted extensive research into machine learning (ML) solutions for predicting patient length of stay (LOS) to optimize bed allocation. While many existing …