Implement Good Machine Learning practice

[hshuaib90]

Do we implement Good Machine Learning practice as published here: https://www.gov.uk/government/publications/good-machine-learning-practice-for-medical-device-development-guiding-principles/good-machine-learning-practice-for-medical-device-development-guiding-principles

Looks like the main takeaways are:

• Multi-Disciplinary Expertise Is Leveraged Throughout the Total Product Life Cycle
• Good Software Engineering and Security Practices Are Implemented
• Clinical Study Participants and Data Sets Are Representative of the Intended Patient Population
• Training Data Sets Are Independent of Test Sets
• Selected Reference Datasets Are Based Upon Best Available Methods
• Model Design Is Tailored to the Available Data and Reflects the Intended Use of the Device
• Focus Is Placed on the Performance of the Human-AI Team
• Testing Demonstrates Device Performance During Clinically Relevant Conditions:
• Users Are Provided Clear, Essential Information
• Deployed Models Are Monitored for Performance and Re-training Risks Are Managed

[laurencejackson]

Ah yes, this is a great idea! I think at the moment we don't meet a lot of these.

It might be a good idea to host a workshop on this, where as a team we discuss how best to meet each of these requirements. I'll arrange this offline with @lucy-funnell.