1. Stay well with machine
learning
Anastasiia Kornilova,!
SoftServe Data Science Group!
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2. Life expectancy at birth
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3. Medicine evolution
❖ Fighting against diseases!
❖ Monitoring for finding early symptoms!
❖ Preventing diseases /Forming good health
habits
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4. Healthy habits
❖ Sleep!
❖ Running!
❖ Swimming!
❖ Walking!
❖ Diet!
❖ …
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5. How measurements can help form good health habits?
❖ Observer effect: Measuring system changes the system!
❖ Gamification!
❖ Psychological effect!
❖ Power, will, willpower
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6. What we can measure?
❖ Easy/Relatively Easy:!
❖ Temperature!
❖ Weight!
❖ Heart rate!
❖ Blood pressure!
❖ Steps
!
❖ How about:!
❖ Activity level!
❖ Sleep quality!
❖ Predicting some diseases
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7. Gadgets examples
❖ Fitness trackers/ Smart watches:!
❖ for every day usage!
❖ for measuring sleep quality!
❖ for trainings!
❖ Smart scale!
❖ Smart toothbrush
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8. Life is short. Do things that matter
❖ http://mytikker.com/
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9. What is machine learning?
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10. ML algorithms
❖ Supervised!
❖ Unsupervised !
❖ Semi-supervised
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11. How machine learning can help?
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12. Data: Basis Band metrics
❖ Optical blood flow sensor - for measuring
heart rate!
❖ Accelerometer - for measuring steps
amount!
❖ Body temperature sensor!
❖ Galvanic Skins response sensor
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13. Data
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16. Build K-Means model
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18. How good is our model?
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20. Ways to improve
❖ Improve current model: !
❖ Data scaling!
❖ More data!
❖ Imputing!
❖ Use different model:!
❖ Supervised!
❖ Unsupervised!
❖ Use ensemble of models
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22. You can use ML algorithms for
❖ Fraud detection!
❖ Computer vision!
❖ Predicting future!
❖ Recommend product/friends!
❖ Speech and handwriting recognition!
❖ Identify key topics/summarize text!
❖ Find patterns in users behavior/actions
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23. Summary
❖ We built simple «toy»-model for activity
recognition!
❖ Output of our model is relevant to to
output of existing full-featured commercial
service

24. Q & A
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