[HTML][HTML] Data-driven blood glucose pattern classification and anomalies detection: machine-learning applications in type 1 diabetes
Background Diabetes mellitus is a chronic metabolic disorder that results in abnormal blood
glucose (BG) regulations. The BG level is preferably maintained close to normality through …
glucose (BG) regulations. The BG level is preferably maintained close to normality through …
Building long-term human–robot relationships: Examining disclosure, perception and well-being across time
While interactions with social robots are novel and exciting for many people, one concern is
the extent to which people's behavioural and emotional engagement might be sustained …
the extent to which people's behavioural and emotional engagement might be sustained …
[HTML][HTML] The influence of electronic health record use on physician burnout: cross-sectional survey
T Tajirian, V Stergiopoulos, G Strudwick… - Journal of medical …, 2020 - jmir.org
Background Physician burnout has a direct impact on the delivery of high-quality health
care, with health information technology tools such as electronic health records (EHRs) …
care, with health information technology tools such as electronic health records (EHRs) …
Mood variations decoded from multi-site intracranial human brain activity
The ability to decode mood state over time from neural activity could enable closed-loop
systems to treat neuropsychiatric disorders. However, this decoding has not been …
systems to treat neuropsychiatric disorders. However, this decoding has not been …
[HTML][HTML] Understanding people's use of and perspectives on mood-tracking apps: interview study
Background Supporting mental health and wellness is of increasing interest due to a
growing recognition of the prevalence and burden of mental health issues. Mood is a central …
growing recognition of the prevalence and burden of mental health issues. Mood is a central …
Direct electrical stimulation of lateral orbitofrontal cortex acutely improves mood in individuals with symptoms of depression
Mood disorders cause significant morbidity and mortality, and existing therapies fail 20%–
30% of patients. Deep brain stimulation (DBS) is an emerging treatment for refractory mood …
30% of patients. Deep brain stimulation (DBS) is an emerging treatment for refractory mood …
An amygdala-hippocampus subnetwork that encodes variation in human mood
Human brain networks that encode variation in mood on naturalistic timescales remain
largely unexplored. Here we combine multi-site, semi-chronic, intracranial …
largely unexplored. Here we combine multi-site, semi-chronic, intracranial …
Invasive electrophysiology for circuit discovery and study of comorbid psychiatric disorders in patients with epilepsy: Challenges, opportunities, and novel …
I Balzekas, V Sladky, P Nejedly… - Frontiers in Human …, 2021 - frontiersin.org
Intracranial electroencephalographic (iEEG) recordings from patients with epilepsy provide
distinct opportunities and novel data for the study of co-occurring psychiatric disorders …
distinct opportunities and novel data for the study of co-occurring psychiatric disorders …
Estados de ánimo, ansiedad y depresión en estudiantes de medicina durante la crisis sanitaria covid-19
D Velastegui-Hernández… - Psicología Unemi, 2021 - ojs.unemi.edu.ec
El objetivo de la presente investigación fue conocer la relación existente entre los Estados
de ánimo y los síntomas de ansiedad y depresión, en una muestra de estudiantes de …
de ánimo y los síntomas de ansiedad y depresión, en una muestra de estudiantes de …
Prevalence and course of pregnancy symptoms using self-reported pregnancy app symptom tracker data
M Nissen, N Barrios Campo, M Flaucher… - NPJ digital …, 2023 - nature.com
During pregnancy, almost all women experience pregnancy-related symptoms. The
relationship between symptoms and their association with pregnancy outcomes is not well …
relationship between symptoms and their association with pregnancy outcomes is not well …