Related references
Note: Only part of the references are listed.Interpretation of machine learning models using shapley values: application to compound potency and multi-target activity predictions
Raquel Rodriguez-Perez et al.
JOURNAL OF COMPUTER-AIDED MOLECULAR DESIGN (2020)
Sleep Regularity and Cardiometabolic Heath: Is Variability in Sleep Patterns a Risk Factor for Excess Adiposity and Glycemic Dysregulation?
Faris M. Zuraikat et al.
CURRENT DIABETES REPORTS (2020)
Wearable activity trackers, accuracy, adoption, acceptance and health impact: A systematic literature review
Grace Shin et al.
JOURNAL OF BIOMEDICAL INFORMATICS (2019)
Mood Prediction of Patients With Mood Disorders by Machine Learning Using Passive Digital Phenotypes Based on the Circadian Rhythm: Prospective Observational Cohort Study
Chul-Hyun Cho et al.
JOURNAL OF MEDICAL INTERNET RESEARCH (2019)
Habitual late sleep initiation is associated with increased incidence of type 2 diabetes mellitus in Korean adults: the Korean Genome and Epidemiology Study
Ji A. Seo et al.
SLEEP (2019)
Sleep Duration and Risk of Type 2 Diabetes: A Meta-analysis of Prospective Studies
Zhilei Shan et al.
DIABETES CARE (2015)
Emerging uses of patient generated health data in clinical research
William A. Wood et al.
MOLECULAR ONCOLOGY (2015)
Wearable Photoplethysmographic Sensors-Past and Present
Toshiyo Tamura et al.
ELECTRONICS (2014)
Wearable systems and mobile applications for diabetes disease management
Eleni I. Georga et al.
HEALTH AND TECHNOLOGY (2014)
Is there an association between shift work and having a metabolic syndrome? Results from a population based study of 27,485 people
B Karlsson et al.
OCCUPATIONAL AND ENVIRONMENTAL MEDICINE (2001)