Survey: improve diagnosis of ovarian cancer using information about shopping habits

[OvacomeSupport]

Hello All

This is to ask for your help with some research we are helping with, led by a PhD candidate called Elizabeth Dolan. The aim is to improve diagnosis of ovarian cancer using information about people’s shopping habits.

The idea behind the research is that people may be buying health products such as those for digestive health or pain relief before they realise that their symptoms could be caused by ovarian cancer. The research is to look for patterns of shopping that could suggest that someone needs investigations for ovarian cancer. Elizabeth plans to gather data from loyalty cards and then use machine learning (a method of programming computers to learn from data) to find these patterns. It is hoped this will help people and their healthcare professionals to recognise the signs earlier.

Elizabeth needs people with an ovarian cancer diagnosis to provide information about the symptoms they experienced and any health products that they bought in response before they were diagnosed. If you would like to help you can complete the survey at nottingham.onlinesurveys.ac...

Thank you very much for your help. If you have any questions, please do get in touch with me either through the forum or on 0800 008 7054 or email [e-mail]

Best wishes

Julia

Ovacome support