stay well with machine learning
TRANSCRIPT
Stay well with machine learning
Anastasiia Kornilova,!SoftServe Data Science Group!
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Life expectancy at birth
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Medicine evolution
❖ Fighting against diseases!
❖ Monitoring for finding early symptoms!
❖ Preventing diseases /Forming good health habits
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Healthy habits
❖ Sleep!
❖ Running!
❖ Swimming!
❖ Walking!
❖ Diet!
❖ …
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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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What we can measure?
❖ Easy/Relatively Easy:!
❖ Temperature!
❖ Weight!
❖ Heart rate!
❖ Blood pressure!
❖ Steps
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❖ How about:!
❖ Activity level!
❖ Sleep quality!
❖ Predicting some diseases
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Gadgets examples
❖ Fitness trackers/ Smart watches:!
❖ for every day usage!
❖ for measuring sleep quality!
❖ for trainings!
❖ Smart scale!
❖ Smart toothbrush
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What is machine learning?
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ML algorithms
❖ Supervised!❖ Unsupervised !❖ Semi-supervised
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How machine learning can help?
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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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Data
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Build K-Means model
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How good is our model?
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Ways to improve❖ Improve current model: !
❖ Data scaling!
❖ More data!
❖ Imputing!
❖ Use different model:!
❖ Supervised!
❖ Unsupervised!
❖ Use ensemble of models
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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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Summary
❖ We built simple «toy»-model for activity recognition!
❖ Output of our model is relevant to to output of existing full-featured commercial service
Q & A
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