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이달의연구자 (논문분야)

Smartphone accelerometer data as a proxy for clinical data in modeling of bipolar disorder symptom trajectory
Casey Bennett의 사진
  1. 성명Casey Bennett(Casey Bennett)
  2. 소속공과대학 데이터사이언스전공
  3. 선정년월2023년 01월
  4. 선정계열이공자연
논문명
Smartphone accelerometer data as a proxy for clinical data in modeling of bipolar disorder symptom trajectory
학술지명
NPJ DIGITAL MEDICINE
논문 소개
For mental illnesses like bipolar disorder, there appear to be subtle differences in the speed/rhythm of keypresses when typing on smartphones (e.g. how long it takes to go from pressing one key to the next), as well as how the phone moves while typing (e.g. slight swaying motion side-to-side). The differences are almost imperceptible, and not visible to the naked eye. More importantly, those differences heighten in the days or weeks leading up to acute health events. With the right machine learning models, we can predict those health changes before they happen with roughly 95% accuracy, based purely on smartphone data.
관련링크
https://www.nature.com/articles/s41746-022-00741-3
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