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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.

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PHeP: TrustAlert Open-Source Platform for Enhancing Predictive Healthcare with Deep Learning

  • 会议论文

  • 发表日期：

    2025年

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  • Sandro Gepiro Contaldo,
  • Emanuele Pietropaolo,
  • Lorenzo Bosio,
  • Simone Pernice,
  • Irene Terrone,
  • Daniele Baccega,
  • Yuting Wang,
  • Rahul Kumar Sahoo,
  • Giuseppe Rizzo,
  • Alessia Visconti,
  • Paola Berchialla,
  • Marco Beccuti

摘要

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.