Slack Channel MirrorMirror


The problem is that while I do regularly experience discomfort and pain (physical, psychological), it is very hard or impossible for me to pinpoint to specific events or pattern that may be the cause. Even though I am very mindful of my situation, I cannot observe myself externally. I would like to have a "self-radar", that can give me early warning when I am going to suffer from a bout of asthma or of feeling low. The challenge is to develop solution that brought together my various interactions - both objective measures and self reported subjective observations.  Measures could be my speech tone, my activity level, my facial expression, the weather, what I am eating, how I am feeling at certain points which I can then co-relate to my mood . This should be as passive as possible with some very limited prompts for self reporting. This will help establish a personal pattern and a data track which can then be used to create forward looking alarms that will warn me in advance.  

Thematic Area

4 -Measuring Causal Factors

Patient Champion

Champion E.O. (4)

Team Composition would benefit from

ML, UX design, human factors expert, web/ mobile app developer,  data-scientist,


08.11.2020 12:00

Hackathon finished

23.10.2020 16:23

Team forming

GuillaumeAzarias has joined

23.10.2020 12:00

Hackathon started

22.10.2020 22:13


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22.10.2020 20:58


Worked on by giovanni_nisato

22.10.2020 20:44


Readme fetched from source by giovanni_nisato

22.10.2020 20:44

Team forming

giovanni_nisato has joined

22.10.2020 20:44

Project started

Initialized by giovanni_nisato

4. Measurement of causal factors

Today you may feel fine, but tomorrow you may feel it is the worst day of your life. What changed? Is it something you did or is it something that happened to you? These are questions that patients ask themselves all the time. What external and internal factors influence my well-being? These factors may not always be obvious, such as, for example, the weather. Patients would like to be able to measure these influences automatically and match them to their subjective well-being. This could provide them with deeper insight into their situation while also providing an unbiased (e.g. without flaws of memory) overview of the course of their disease, which could support them in meetings with HCPs.

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