Stay well with machine learning

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Stay well with machine learning

  1. 1. Stay well with machine learning Anastasiia Kornilova,! SoftServe Data Science Group! "1
  2. 2. Life expectancy at birth "2
  3. 3. Medicine evolution ❖ Fighting against diseases! ❖ Monitoring for finding early symptoms! ❖ Preventing diseases /Forming good health habits "3
  4. 4. Healthy habits ❖ Sleep! ❖ Running! ❖ Swimming! ❖ Walking! ❖ Diet! ❖ … "4
  5. 5. How measurements can help form good health habits? ❖ Observer effect: Measuring system changes the system! ❖ Gamification! ❖ Psychological effect! ❖ Power, will, willpower "5
  6. 6. What we can measure? ❖ Easy/Relatively Easy:! ❖ Temperature! ❖ Weight! ❖ Heart rate! ❖ Blood pressure! ❖ Steps ! ❖ How about:! ❖ Activity level! ❖ Sleep quality! ❖ Predicting some diseases "6
  7. 7. Gadgets examples ❖ Fitness trackers/ Smart watches:! ❖ for every day usage! ❖ for measuring sleep quality! ❖ for trainings! ❖ Smart scale! ❖ Smart toothbrush "7
  8. 8. Life is short. Do things that matter ❖ http://mytikker.com/ "8
  9. 9. What is machine learning? "9
  10. 10. ML algorithms ❖ Supervised! ❖ Unsupervised ! ❖ Semi-supervised "10
  11. 11. How machine learning can help? "11
  12. 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 "12
  13. 13. Data "13
  14. 14. "14
  15. 15. Build K-Means model "16
  16. 16. "17
  17. 17. How good is our model? "18
  18. 18. "19
  19. 19. Ways to improve ❖ Improve current model: ! ❖ Data scaling! ❖ More data! ❖ Imputing! ❖ Use different model:! ❖ Supervised! ❖ Unsupervised! ❖ Use ensemble of models "20
  20. 20. "21
  21. 21. 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 "22
  22. 22. Summary ❖ We built simple «toy»-model for activity recognition! ❖ Output of our model is relevant to to output of existing full-featured commercial service
  23. 23. Q & A "24

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