Name:
PhantoMedicus
Description:
Medical Survey Generator
Professor — Lab:
Martin JaggiMachine Learning and Optimization Laboratory

Technical description:
Phantomedicus is a framework for simulating patients and consultations. It can extract disease probabilities from given data.
Project status:
inactive — entered showcase: 2022-07-06 — entry updated: 2024-04-09

Source code:
Lab GitHub - last commit: 2022-06-25
Code quality:
This project has not yet been evaluated by the C4DT Factory team. We will be happy to evaluate it upon request.
Project type:
Framework
Programming language:
Python