Cargando…

Personalized machine learning of depressed mood using wearables

Depression is a multifaceted illness with large interindividual variability in clinical response to treatment. In the era of digital medicine and precision therapeutics, new personalized treatment approaches are warranted for depression. Here, we use a combination of longitudinal ecological momentar...

Descripción completa

Detalles Bibliográficos
Autores principales:	Shah, Rutvik V., Grennan, Gillian, Zafar-Khan, Mariam, Alim, Fahad, Dey, Sujit, Ramanathan, Dhakshin, Mishra, Jyoti
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	Nature Publishing Group UK 2021
Materias:	Article
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8187630/ https://www.ncbi.nlm.nih.gov/pubmed/34103481 http://dx.doi.org/10.1038/s41398-021-01445-0

Ejemplares similares

Simultaneous Gut-Brain Electrophysiology Shows Cognition and Satiety Specific Coupling
por: Balasubramani, Pragathi Priyadharsini, et al.
Publicado: (2022)

Using Mind-Body Medicine to Reduce the Long-Term Health Impacts of COVID-Specific Chronic Stress
por: Maric, Vojislav, et al.
Publicado: (2021)

Utility of Cognitive Neural Features for Predicting Mental Health Behaviors
por: Kato, Ryosuke, et al.
Publicado: (2022)

Neural dynamics during emotional video engagement relate to anxiety
por: Nan, Jason, et al.
Publicado: (2022)

Chronic Mental Health Sequelae of Climate Change Extremes: A Case Study of the Deadliest Californian Wildfire
por: Silveira, Sarita, et al.
Publicado: (2021)

How do serotonergic psychedelics treat depression: The potential role of neuroplasticity
por: Artin, Hewa, et al.
Publicado: (2021)

Depressed Mood Prediction of Elderly People with a Wearable Band
por: Choi, Jinyoung, et al.
Publicado: (2022)

A generalized reinforcement learning based deep neural network agent model for diverse cognitive constructs
por: Nair, Sandeep Sathyanandan, et al.
Publicado: (2023)

Sleep-Dependent Reactivation of Ensembles in Motor Cortex Promotes Skill Consolidation
por: Ramanathan, Dhakshin S., et al.
Publicado: (2015)

Wearable Technology for High-Frequency Cognitive and Mood Assessment in Major Depressive Disorder: Longitudinal Observational Study
por: Cormack, Francesca, et al.
Publicado: (2019)

Effects of intranasal (S)-ketamine on Veterans with co-morbid treatment-resistant depression and PTSD: A retrospective case series
por: Artin, Hewa, et al.
Publicado: (2022)

Mood and Global Symptom Changes among Psychotherapy Clients with Depressive Personality
por: Maddux, Rachel E., et al.
Publicado: (2012)

Zero-shot personalization of speech foundation models for depressed mood monitoring
por: Gerczuk, Maurice, et al.
Publicado: (2023)

Wearable multimodal sensors for the detection of behavioral and psychological symptoms of dementia using personalized machine learning models
por: Iaboni, Andrea, et al.
Publicado: (2022)

Neural reactivations during sleep determine network credit assignment
por: Gulati, Tanuj, et al.
Publicado: (2017)

Wearable sensors detect childhood internalizing disorders during mood induction task
por: McGinnis, Ellen W., et al.
Publicado: (2018)

Using Wearables and Machine Learning to Enable Personalized Lifestyle Recommendations to Improve Blood Pressure
Publicado: (2021)

Wearable thermoelectrics for personalized thermoregulation
por: Hong, Sahngki, et al.
Publicado: (2019)

Wearable Sensors for the Monitoring of Maternal Health—A Systematic Review
por: Alim, Anika, et al.
Publicado: (2023)

DOES ONSET OF CHRONIC CONDITIONS MODERATE THE IMPACT OF RELATIONAL LIFE EVENTS ON DEPRESSED MOOD?
por: Ogletree, Aaron M, et al.
Publicado: (2019)

Family history of mood disorder weakens the association between personality traits and suicidality in depressed patients
por: Kibitov, A., et al.
Publicado: (2022)

Correlations Between Objective Behavioral Features Collected From Mobile and Wearable Devices and Depressive Mood Symptoms in Patients With Affective Disorders: Systematic Review
por: Rohani, Darius A, et al.
Publicado: (2018)

A momentary biomarker for depressive mood
por: Kim, Jinhyuk, et al.
Publicado: (2016)

Identification of Suitable Biomarkers for Stress and Emotion Detection for Future Personal Affective Wearable Sensors
por: Zamkah, Abdulaziz, et al.
Publicado: (2020)

Emergent Modular Neural Control Drives Coordinated Motor Actions
por: Lemke, Stefan M., et al.
Publicado: (2019)

Predictors of Hangover Frequency and Severity: The Impact of Alcohol Consumption, Mental Resilience, Personality, Lifestyle, Coping and Mood
por: Verster, Joris C., et al.
Publicado: (2023)

Mood, Side-effects and Smoking Outcomes Among Persons With and Without Probable Lifetime Depression Taking Varenicline
por: McClure, Jennifer B., et al.
Publicado: (2009)

Digital Biomarkers for Depression Screening With Wearable Devices: Cross-sectional Study With Machine Learning Modeling
por: Rykov, Yuri, et al.
Publicado: (2021)

A prospective study of mental health care for comorbid depressed mood in older adults with painful osteoarthritis
por: Gleicher, Yehoshua, et al.
Publicado: (2011)

Perceiving Positive Facial Expression Can Relieve Depressive Moods: The Effect of Emotional Contagion on Mood in People With Subthreshold Depression
por: Yamashita, Yuko, et al.
Publicado: (2021)

Machine learning detection of Atrial Fibrillation using wearable technology
por: Lown, Mark, et al.
Publicado: (2020)

Ventral pallidum GABA and glutamate neurons drive approach and avoidance through distinct modulation of VTA cell types
por: Faget, Lauren, et al.
Publicado: (2023)

Stress Monitoring Using Machine Learning, IoT and Wearable Sensors
por: Al-Atawi, Abdullah A., et al.
Publicado: (2023)

Bipolar mood disorder and treatment-resistant depression
por: Rybakowski, Janusz K
Publicado: (2010)

Mood Genes: Hunting for the Origins of Mania and Depression
por: Bernd, Karen K.
Publicado: (2002)

Improvement of Depressed Mood with Green Tea Intake
por: Unno, Keiko, et al.
Publicado: (2022)

Mood-Reactive Self-Esteem and Depression Vulnerability: Person-Specific Symptom Dynamics via Smart Phone Assessment
por: Clasen, Peter C., et al.
Publicado: (2015)

Predicting Depression in Adolescents Using Mobile and Wearable Sensors: Multimodal Machine Learning–Based Exploratory Study
por: Mullick, Tahsin, et al.
Publicado: (2022)

How mood tunes prediction: a neurophenomenological account of mood and its disturbance in major depression
por: Kiverstein, Julian, et al.
Publicado: (2020)

Evidence for mood-dependent attentional processing in asthma: attentional bias towards health-threat in depressive mood and attentional avoidance in neutral mood
por: Alexeeva, Iana, et al.
Publicado: (2018)

Cannot write session to /tmp/vufind_sessions/sess_f9e8gp8godcku57jdsr0n937cm