How can artificial intelligence (AI) revolutionise diabetes care world-wide

Aim
To produce a piece of analysis along with an AI demonstration on possible improvements to Diabetic healthcare and/or management, and write a research report on AI capabilities when implemented on diabetic dataset.

Design Problem

Problem statement
AI can support development of innovative solutions for improved AI care in four major areas: automated retinal screening, clinical decision support, predictive population risk stratification, and patient self-management tools. For this coursework, your aim is to investigate the problem of diabetes and the role AI can play in diabetes well-being and prevention, diagnostic, management, etc. In doing so, you would be expected to perform the following tasks:
o Investigate public diabetes data sets and have basic understanding of their significance and meaning. Data to be investigates could include:
• Diabetes Data Set https://archive.ics.uci.edu/ml/datasets/diabetes
This dataset is useful for management of diabetes at individual level (e.g. clinical decision support and patient-self management)
• Diabetes 130-US hospitals for years 1999-2008 Data Set https://archive.ics.uci.edu/ml/datasets/diabetes+130-us+hospitals+for+years+1999-2008
This dataset is useful for the development of strategies to reduce readmission rates and costs for the care of individuals with diabetes. Has huge potential for population health management
• Any other dataset that is useful for the challenge you are tackling
o Highlight aspects of Diabetic care that AI can improve using these data sets
o Propose and develop an AI system that can be implemented to demonstrate your ideas
o Develop basic data processing tools to read samples of data
o Demonstrate the feasibility of your design by implementing some of its basic features using python
o Discuss your findings making recommendations for further investigation and improved implementation.