Date post: | 02-Jul-2015 |
Category: |
Healthcare |
Upload: | shawn-dimantha |
View: | 328 times |
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Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec
2009
2010
2011
2012
2013
2014
Using
For Health Insights Shawn Dimantha
I wanted to find a better way to keep track of my health without the hassle
MIT’s Immersion visualized my email network…
Why not use Facebook analytics?
• Largest quantity and variety of data available
• High quality images available
• Could images be a window into my health?
An image is worth a thousand wordsinsights
Published academic research supports this approach
A rating over time could help me forecast and track my health
Off Track>2.2
Caution>2.1 to <2.2
Good< 2.1
2009
Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec
2.26 2.24 2.26 2.31 2.18 2.22 2.26 2.31
2010
Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec
2.16 2.27 2.232.03 2.16 2.13 2.12
Commuting Princeton – NYC every day
Joined local gym
2011
Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec
2.32 2.39 2.39 2.4 2.26 2.162.31
Commuting Princeton – NYC every day
2012
Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec
70 day gym streak
2.25 2.15 2.212.04 2.07
2.24 2.18 2.2
Commuting Princeton – NYC every day
2013
Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec
2.192.01 2.06 2.1 1.99 2.01
2.16
Surgery + recovery
ClimbedMt. Kilimanjaro
2014
Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec
1.94 2.04 2.05 2.14 2.06
New job Trip home +2 weddings/ bachelor parties
Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec
2009
2010
2011
2012
2013
2014
What I learned
• Facial image data needs to be cleaned and carefully selected. Face shapes are unique and need to be treated as such.
• Data that is not present is often more telling than what is present
• Life events effect my weight and should be put into context; however causation is harder to determine than correlation
• By being more conscious of my score and I can change my behavior before things get off track