~/talk

Know Thyself: Introspective Personal Data Mining

Talkat Women in Data Science (WiDS) Stanford 2020 · on Monday, 2020-03-02· [data-science]
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slides:none on file

Wearable data drives concrete changes: Fitbit step logs, sleep records showing Restless 16 times versus 6, and heart-rate traces with intensity zones reveal why someone wakes tired, loses matches, or improves fitness. A family uses an app with notes to correlate racquetball peaks to wins; one person drops 150+ pounds and moves from prehypertension to normal heart-rate bands over 18 months. Pushes include a 4 million steps family goal, sharing data with clinicians, and using simple analytics to guide behavior.

AI-written summary · about

  1. 0:00Introduction
  2. 2:15What kind of data do you collect
  3. 3:22Why is it important
  4. 4:13Create a digital footprint
  5. 7:30Fitness data
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