#wearable

2posts

  1. An LSTM That Predicts Cognitive Impairment from Sleep Records
    Can sleep records from a ring-type wearable alone identify cognitive impairment? This post covers how an LSTM that combined five days of records achieved an AUC of 0.92, and which sleep metrics SHAP pointed out.
    Healthcare Data Analytics2026-10-10#sleep lifelog#cognitive impairment#wearable#time series classification#explainable ai#dementia screening
  2. Finding Product Improvement Directions Through Customer Experience by Usage Period
    If customer reviews are divided by how long customers have used the product, can we see separate points to improve in the early use stage and the long-term use stage? We read a paper that analyzes smartwatch reviews with a rank-based dynamic IPA map.
    Social Media Analytics2026-10-10#customer reviews#topic modeling#sentiment analysis#importance performance analysis#product improvement#wearable

Keywords

#sleep lifelog1#cognitive impairment1#time series classification1#explainable ai1#dementia screening1#customer reviews1#topic modeling1#sentiment analysis1#importance performance analysis1#product improvement1