sayantikabanik / Depression_marker_detection

Identifying depression markers via social media and building an early-stage recommendation engine
BSD 2-Clause "Simplified" License
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Based on the markers add recommendations #6

Closed sayantikabanik closed 2 years ago

sayantikabanik commented 2 years ago
sayantikabanik commented 2 years ago

please add articles and recommendations. Markers of depression + health articles + social activities

cc @sahithi02 @vaibhav-code-py

sayantikabanik commented 2 years ago

please add articles and recommendations. Markers of depression + health articles + social activities

cc @sahithi02 @vaibhav-code-py

Reminder :)

sahithi02 commented 2 years ago

Found this article almost similar to our project: https://www.researchgate.net/publication/350488667_EmoCure_Utilising_Social_Media_Data_and_Smartphones_to_Predict_and_Cure_Depression

Few more relevant links: https://www.researchgate.net/publication/349451635_Engaging_Smartphones_and_Social_Data_for_Curing_Depressive_Disorders_An_Overview_and_Survey

https://www.bardram.net/wp-content/papercite-data/pdf/rohani2020mubs.pdf

vaibhav-code-py commented 2 years ago

Found this article almost similar to our project: https://www.researchgate.net/publication/350488667_EmoCure_Utilising_Social_Media_Data_and_Smartphones_to_Predict_and_Cure_Depression

Few more relevant links: https://www.researchgate.net/publication/349451635_Engaging_Smartphones_and_Social_Data_for_Curing_Depressive_Disorders_An_Overview_and_Survey

https://www.bardram.net/wp-content/papercite-data/pdf/rohani2020mubs.pdf

Read these articles @sahithi02 good find but all these pursue identifying depression using machine learning. I think we need recommendation for the depression patient.

vaibhav-code-py commented 2 years ago

I think the markers should be categorized based on labels, 'Angry', 'Disgust', 'Fear', 'Happy', 'Sad', 'Surprise', 'Neutral' + Sentiments, 'Positive', 'Neutral', 'Negative'.

Check out this article: https://www.ncbi.nlm.nih.gov/books/NBK82911/

image

vaibhav-code-py commented 2 years ago

Lifestyle changes to treat depression Exercise. Regular exercise can be as effective at treating depression as medication. Not only does exercise boost serotonin, endorphins, and other feel-good brain chemicals, it triggers the growth of new brain cells and connections, just like antidepressants do. Best of all, you don’t have to train for a marathon in order to reap the benefits. Even a half-hour daily walk can make a big difference. For maximum results, aim for 30 to 60 minutes of aerobic activity on most days.

Social support. Strong social networks reduce isolation, a key risk factor for depression. Keep in regular contact with friends and family, or consider joining a class or group. Volunteering is a wonderful way to get social support and help others while also helping yourself.

Nutrition. Eating well is important for both your physical and mental health. Eating small, well-balanced meals throughout the day will help you keep your energy up and minimize mood swings. While you may be drawn to sugary foods for the quick boost they provide, complex carbohydrates are a better choice. They’ll get you going without the all-too-soon sugar crash.

Sleep. Sleep has a strong effect on mood. When you don’t get enough sleep, your depression symptoms will be worse. Sleep deprivation exacerbates irritability, moodiness, sadness, and fatigue. Make sure you’re getting enough sleep each night. Very few people do well on less than seven hours a night. Aim for somewhere between seven to nine hours each night.

Stress reduction. Make changes in your life to help manage and reduce stress. Too much stress exacerbates depression and puts you at risk for future depression. Take the aspects of your life that stress you out, such as work overload or unsupportive relationships, and find ways to minimize their impact.

https://www.helpguide.org/articles/depression/depression-treatment.htm

vaibhav-code-py commented 2 years ago

https://scholar.google.co.in/scholar?q=depression+recommendations+using+machine+learning+project&hl=en&as_sdt=0&as_vis=1&oi=scholart#d=gs_qabs&u=%23p%3D-ZTEqO7SVWkJ

sayantikabanik commented 2 years ago

Lifestyle changes to treat depression Exercise. Regular exercise can be as effective at treating depression as medication. Not only does exercise boost serotonin, endorphins, and other feel-good brain chemicals, it triggers the growth of new brain cells and connections, just like antidepressants do. Best of all, you don’t have to train for a marathon in order to reap the benefits. Even a half-hour daily walk can make a big difference. For maximum results, aim for 30 to 60 minutes of aerobic activity on most days.

Social support. Strong social networks reduce isolation, a key risk factor for depression. Keep in regular contact with friends and family, or consider joining a class or group. Volunteering is a wonderful way to get social support and help others while also helping yourself.

Nutrition. Eating well is important for both your physical and mental health. Eating small, well-balanced meals throughout the day will help you keep your energy up and minimize mood swings. While you may be drawn to sugary foods for the quick boost they provide, complex carbohydrates are a better choice. They’ll get you going without the all-too-soon sugar crash.

Sleep. Sleep has a strong effect on mood. When you don’t get enough sleep, your depression symptoms will be worse. Sleep deprivation exacerbates irritability, moodiness, sadness, and fatigue. Make sure you’re getting enough sleep each night. Very few people do well on less than seven hours a night. Aim for somewhere between seven to nine hours each night.

Stress reduction. Make changes in your life to help manage and reduce stress. Too much stress exacerbates depression and puts you at risk for future depression. Take the aspects of your life that stress you out, such as work overload or unsupportive relationships, and find ways to minimize their impact.

https://www.helpguide.org/articles/depression/depression-treatment.htm

@sahithi02 this looks great, we can add them mostly without any modification. Thanks @vaibhav-code-py