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medet

Medical Devices Digital Twins with Meta-Learning

https://github.com/simula-complex/medet

Science Score: 44.0%

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    Scientific vocabulary similarity
    Low similarity (7.5%) to scientific vocabulary

Keywords

digital-twins healthcare iot-applications meta-learning
Last synced: 6 months ago · JSON representation ·

Repository

Medical Devices Digital Twins with Meta-Learning

Basic Info
  • Host: GitHub
  • Owner: Simula-COMPLEX
  • Language: Python
  • Default Branch: main
  • Homepage:
  • Size: 40 KB
Statistics
  • Stars: 4
  • Watchers: 2
  • Forks: 0
  • Open Issues: 0
  • Releases: 0
Topics
digital-twins healthcare iot-applications meta-learning
Created over 2 years ago · Last pushed over 1 year ago
Metadata Files
Readme Citation

README.md

MeDeT: Medical Devices Digital Twins Generation with Meta-learning

The MeDeT approach focuses on building, adapting, and operating high-fidelity digital twins (DTs) of medical devices, employing few-shot meta-learning techniques. These medical devices DTs are designed to streamline testing automation for healthcare IoT applications.

MeDeT works in six phases: (i) Data Generation - generates raw data for medical devices, (ii) Data Preparation - preprocesses raw data for training, (iii) Meta-learning - creates meta dataset & taskset, determines model architecture, and trains/fine-tunes with MAML algorithm, (iv) Build DTs - creates model clones, storage, APIs, and JSON objects, (v) DT Request Handler - processes requests from a healthcare IoT application during testing, and (vi) DTs to Device Communication - establishes DTs communication with medical devices.

This work is a part of the Welfare Technology Solution (WTT4Oslo) project (#309175) funded by the Research Council of Norway.

Basic Requirements

  • Machine: minimum 16GB RAM and 8-core processor
  • OS: MacOS or Windows 10
  • IDE: PyCharm
  • Python: 3.8 or higher

Dependencies

  • PyTorch: 2.0.1
  • learn2learn: 0.2.0
  • scikit-learn: 1.3.0
  • Pandas: 2.0.3
  • Flask: 2.2.3
  • Flask-RESTful: 0.3.9

Owner

  • Name: Simula-COMPLEX
  • Login: Simula-COMPLEX
  • Kind: organization

Citation (CITATION.cff) 

cff-version: 1.2.0
message: "If you use this software, please cite it as below."
authors:
- family-names: "Sartaj"
  given-names: "Hassan"
  orcid: "https://orcid.org/0000-0001-5212-9787"
title: "MeDeT: Few-Shot Meta-Learning for Generating High-Fidelity Digital Twins of Medical Devices"
version: 0.0.1
date-released: 2023-10-01
url: "https://github.com/Simula-COMPLEX/MeDeT"

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