Addendum to the Acknowledgements: Mood Prediction of Patients With Mood Disorders by Machine Learning Using Passive Digital Phenotypes Based on the Circadian Rhythm: Prospective Observational Cohort Study

Lignende værker

• Mood Prediction of Patients With Mood Disorders by Machine Learning Using Passive Digital Phenotypes Based on the Circadian Rhythm: Prospective Observational Cohort Study
  af: Cho, Chul-Hyun, et al.
  Udgivet: (2019)
• Comparison of Wearable Activity Tracker with Actigraphy for Sleep Evaluation and Circadian Rest-Activity Rhythm Measurement in Healthy Young Adults
  af: Lee, Hyun-Ah, et al.
  Udgivet: (2017)
• PT663. Comparison of wearable activity tracker to actigraphy for sleep evaluation and circadian rhythm measurement.
  af: Lee, Hyun-Ah, et al.
  Udgivet: (2016)
• PT740. Prediction of Circadian Clock with Combination of One point Expression Profiles of Ten Circadian Clock Genes of Circadian rhythm Prediction Model
  af: Lee, Taek, et al.
  Udgivet: (2016)
• Implications of Circadian Rhythm in Dopamine and Mood Regulation
  af: Kim, Jeongah, et al.
  Udgivet: (2017)