膝痛記録アプリ KneeNote
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About this app
(This app does not collect information that identifies individuals.)
A knee pain recording app that "releases knee pain with the power of data".
〇For all those who suffer from knee pain. Supports the fundamental improvement of chronic knee pain.
〇 Record daily pain and self-care, visualize improvement of symptoms and self-care status.
〇 Support smooth communication with the therapist.
〇 In the future, we expect to provide personalized advice on improving knee pain using AI.
It is a knee pain recording app under development with the goal of "relieving knee pain with the power of data" for patients suffering from chronic knee pain.
I myself developed synovial osteochondral cartilage at the age of 22, and have been suffering from chronic knee pain for days even after three arthroscopic surgeries.
While trying various methods to reduce the pain even a little, I keenly realized the difficulty of "finding a treatment method that suits me and continuing it".
With this app, you can record your daily pain, self-care, and treatments you have tried, and support visualization of symptom improvement and smooth communication with medical professionals and therapists.
Based on the anonymous data provided by everyone, we aim to provide personalized advice on improving knee pain using AI in the future.
For this purpose, a daily record of each patient is required. Thank you for your cooperation.
STEP 1Register the tag
Register tags for daily recording from the "Tags" page. Please register the self-care that was instructed by the hospital teacher etc. (eg "stretching the quadriceps").
STEP2 Adding a diary
Add today's and yesterday's diaries from the "New diary button". The "degree of pain" is subjective.
STEP 3 Daily record
Please keep a diary every day. Please follow the pain level and tag score (number of tags that you want to do minus number of tags that you do not want to do), review your self-care, and use it for communication with your primary care doctor.
・Wait for the accumulation of data, statistically analyze the relationship between knee pain and self-care, and publish the results on a blog on the website.
・Let AI learn a large amount of anonymous data,
Aims to provide personalized knee pain improvement advice.
A knee pain recording app that "releases knee pain with the power of data".
〇For all those who suffer from knee pain. Supports the fundamental improvement of chronic knee pain.
〇 Record daily pain and self-care, visualize improvement of symptoms and self-care status.
〇 Support smooth communication with the therapist.
〇 In the future, we expect to provide personalized advice on improving knee pain using AI.
It is a knee pain recording app under development with the goal of "relieving knee pain with the power of data" for patients suffering from chronic knee pain.
I myself developed synovial osteochondral cartilage at the age of 22, and have been suffering from chronic knee pain for days even after three arthroscopic surgeries.
While trying various methods to reduce the pain even a little, I keenly realized the difficulty of "finding a treatment method that suits me and continuing it".
With this app, you can record your daily pain, self-care, and treatments you have tried, and support visualization of symptom improvement and smooth communication with medical professionals and therapists.
Based on the anonymous data provided by everyone, we aim to provide personalized advice on improving knee pain using AI in the future.
For this purpose, a daily record of each patient is required. Thank you for your cooperation.
STEP 1Register the tag
Register tags for daily recording from the "Tags" page. Please register the self-care that was instructed by the hospital teacher etc. (eg "stretching the quadriceps").
STEP2 Adding a diary
Add today's and yesterday's diaries from the "New diary button". The "degree of pain" is subjective.
STEP 3 Daily record
Please keep a diary every day. Please follow the pain level and tag score (number of tags that you want to do minus number of tags that you do not want to do), review your self-care, and use it for communication with your primary care doctor.
・Wait for the accumulation of data, statistically analyze the relationship between knee pain and self-care, and publish the results on a blog on the website.
・Let AI learn a large amount of anonymous data,
Aims to provide personalized knee pain improvement advice.
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