Guest Column: Pandemic Effect on Education  |  Parent Interventions: Fast food restaurant proximity likely doesn't affect children's weight   |  Parent Interventions: Families' remote learning experience during lockdown positive   |  Health Monitor: Helplines are Open  |  National Edu News: Dr Harsh Vardhan inaugurates the new entity CSIR-NIScPR  |  National Edu News: Remarkable indigenous technologies developed during the Covid pandemic   |  National Edu News: PM to launch Pan India Rollout of COVID-19 Vaccination drive on 16 January  |  Science Innovations: Sunscreen Lotions May Cause Breast Cancer  |  Leadership Instincts: Multi-Level School Leadership for Building Trust, Collaboration and Innovation  |  Leadership Instincts: Tsinghua teachers win “Renowned Teacher” Awards  |  Teacher Insights: NIC and CBSE to launch CollabCAD Software  |  National Edu News: Union Education Minister reviews implementation of New Education Policy- 2020  |  Policy Indications: Circular Economy, a New Book on Resource Utilisation and Sustainability  |  Teacher Insights: Flip not Flop  |  Teacher Insights: EPFL student creates a new language-analysis programme  |  
June 18, 2019 Tuesday 01:27:34 PM IST

FB Posts Indicator of Mental Health and Diabetes

Health Monitor

FaceBook posts can be a good indicator of a mental health of a patient and also of diabetes, according to a new research done by Penn Medicine and Stony Brook University Researchers. 
The researchers used automated data collection techniques to analyse Facebook posts of about 1000 patients who had agreed to link their electronic medical data with the FB profiles. The researchers examined the FB language used as well as demographics such as age and sex to find links between social media posts and health of an individual. The use of words 'drink' and 'bottle' were associated with alcohol abuse. Use of religious language such as 'God' or 'Pray' was indicate of diabetes. Certain use of word such as 'dumb' were likely to be associated with depressive symptoms in a patient. 
Analysis of FB posts can indicate three months earlier than a formal diagnosis in a clinic whether one suffers from depression. This finding illustrates the utility of using AI in the field of medicine to understand patient behavior.

https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0215476



Comments