PHeP: TrustAlert Open-Source Platform for Enhancing Predictive Healthcare with Deep Learning
Contributo in Atti di convegno
Data di Pubblicazione:
2025
Abstract:
Predictive healthcare, driven by the availability of large medical datasets and computational advancements, plays a crucial role in enhancing patient care and optimizing healthcare system performance. However, training and deploying predictive models in healthcare presents substantial challenges, such as specialized expertise, and the need for state-of-the-art and costly hardware. To address these barriers, we introduce the Predictive Healthcare Platform (PHeP), an open-source platform designed to simplify the use of pre-trained models. Through a real-world case study, we showcase PHeP functionality in making advanced predictive healthcare accessible to users without extensive computational skills, or expensive computational resources. This will foster a wider adoption of predictive healthcare in medical practice.
Tipologia CRIS:
04A-Conference paper in volume
Keywords:
deep learning; high performance computing; medical informatics; natural language processing; predictive healthcare
Elenco autori:
Contaldo, Sandro Gepiro; Pietropaolo, Emanuele; Bosio, Lorenzo; Pernice, Simone; Terrone, Irene; Baccega, Daniele; Wang, Yuting; Sahoo, Rahul Kumar; Rizzo, Giuseppe; Visconti, Alessia; Berchialla, Paola; Beccuti, Marco
Link alla scheda completa:
Titolo del libro:
Lecture Notes in Computer Science
Pubblicato in: