Cargando…

A machine learning approach to determine resilience utilizing wearable device data: analysis of an observational cohort

OBJECTIVE: To assess whether an individual’s degree of psychological resilience can be determined from physiological metrics passively collected from a wearable device. MATERIALS AND METHODS: Data were analyzed in this secondary analysis of the Warrior Watch Study dataset, a prospective cohort of he...

Descripción completa

Detalles Bibliográficos
Autores principales:	Hirten, Robert P, Suprun, Maria, Danieletto, Matteo, Zweig, Micol, Golden, Eddye, Pyzik, Renata, Kaur, Sparshdeep, Helmus, Drew, Biello, Anthony, Landell, Kyle, Rodrigues, Jovita, Bottinger, Erwin P, Keefer, Laurie, Charney, Dennis, Nadkarni, Girish N, Suarez-Farinas, Mayte, Fayad, Zahi A
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	Oxford University Press 2023
Materias:	Research and Applications
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10152991/ https://www.ncbi.nlm.nih.gov/pubmed/37143859 http://dx.doi.org/10.1093/jamiaopen/ooad029

Ejemplares similares

Evaluation of a machine learning approach utilizing wearable data for prediction of SARS-CoV-2 infection in healthcare workers
por: Hirten, Robert P, et al.
Publicado: (2022)

Use of Physiological Data From a Wearable Device to Identify SARS-CoV-2 Infection and Symptoms and Predict COVID-19 Diagnosis: Observational Study
por: Hirten, Robert P, et al.
Publicado: (2021)

Factors Associated With Longitudinal Psychological and Physiological Stress in Health Care Workers During the COVID-19 Pandemic: Observational Study Using Apple Watch Data
por: Hirten, Robert P, et al.
Publicado: (2021)

Development of the ehive Digital Health App: Protocol for a Centralized Research Platform
por: Hirten, Robert P, et al.
Publicado: (2023)

A Resilience-Building App to Support the Mental Health of Health Care Workers in the COVID-19 Era: Design Process, Distribution, and Evaluation
por: Golden, Eddye A, et al.
Publicado: (2021)

StudyU: A Platform for Designing and Conducting Innovative Digital N-of-1 Trials
por: Konigorski, Stefan, et al.
Publicado: (2022)

Phe2vec: Automated disease phenotyping based on unsupervised embeddings from electronic health records
por: De Freitas, Jessica K., et al.
Publicado: (2021)

Acute Kidney Injury in Patients Hospitalized With COVID-19 in New York City: Temporal Trends From March 2020 to April 2021
por: Dellepiane, Sergio, et al.
Publicado: (2021)

Coronavirus 2019 and People Living With Human Immunodeficiency Virus: Outcomes for Hospitalized Patients in New York City
por: Sigel, Keith, et al.
Publicado: (2020)

Characterization of Patients Who Return to Hospital Following Discharge from Hospitalization for COVID-19
por: Somani, Sulaiman S., et al.
Publicado: (2020)

Association of SARS-CoV-2 viral load at admission with in-hospital acute kidney injury: A retrospective cohort study
por: Paranjpe, Ishan, et al.
Publicado: (2021)

Sleep in the Natural Environment: A Pilot Study
por: Chaudhry, Fayzan F., et al.
Publicado: (2020)

Development and preliminary evaluation of an online educational video about whole-genome sequencing for research participants, patients, and the general public
por: Sanderson, Saskia C., et al.
Publicado: (2016)

Retrospective cohort study of clinical characteristics of 2199 hospitalised patients with COVID-19 in New York City
por: Paranjpe, Ishan, et al.
Publicado: (2020)

Association of Treatment Dose Anticoagulation With In-Hospital Survival Among Hospitalized Patients With COVID-19
por: Paranjpe, Ishan, et al.
Publicado: (2020)

A clustering approach to improve our understanding of the genetic and phenotypic complexity of chronic kidney disease
por: Eoli, Andrea, et al.
Publicado: (2023)

Machine Learning to Predict Mortality and Critical Events in a Cohort of Patients With COVID-19 in New York City: Model Development and Validation
por: Vaid, Akhil, et al.
Publicado: (2020)

Federated Learning of Electronic Health Records Improves Mortality Prediction in Patients Hospitalized with COVID-19
por: Vaid, Akhil, et al.
Publicado: (2020)

Federated Learning of Electronic Health Records to Improve Mortality Prediction in Hospitalized Patients With COVID-19: Machine Learning Approach
por: Vaid, Akhil, et al.
Publicado: (2021)

Predicting hypertension onset from longitudinal electronic health records with deep learning
por: Datta, Suparno, et al.
Publicado: (2022)

Neonatal outcomes during the COVID-19 pandemic in New York City
por: Richter, Felix, et al.
Publicado: (2021)

Novel Bead-Based Epitope Assay is a sensitive and reliable tool for profiling epitope-specific antibody repertoire in food allergy
por: Suprun, Maria, et al.
Publicado: (2019)

Author Correction: Novel Bead-Based Epitope Assay is a sensitive and reliable tool for profiling epitope-specific antibody repertoire in food allergy
por: Suprun, Maria, et al.
Publicado: (2020)

Quantification of uric acid in vasculature of patients with gout using dual-energy computed tomography
por: Barazani, Sharon Hannah, et al.
Publicado: (2020)

Impact of Vaccination on Major Adverse Cardiovascular Events in Patients With COVID-19 Infection
por: Jiang, Joy, et al.
Publicado: (2023)

Utility of Atherosclerosis Imaging in the Evaluation of High-Density Lipoprotein–Raising Therapies
por: Duivenvoorden, Raphaël, et al.
Publicado: (2011)

Autoencoders for sample size estimation for fully connected neural network classifiers
por: Gulamali, Faris F., et al.
Publicado: (2022)

Multi-TGDR: A Regularization Method for Multi-Class Classification in Microarray Experiments
por: Tian, Suyan, et al.
Publicado: (2013)

Comparing ChatGPT and GPT-4 performance in USMLE soft skill assessments
por: Brin, Dana, et al.
Publicado: (2023)

SUN-253 Effects of Growth Hormone Stimulation on the Immunologic Cellular Landscape in Pediatric Patients
por: Gujral, Jasmine, et al.
Publicado: (2019)

GEE-TGDR: A Longitudinal Feature Selection Algorithm and Its Application to lncRNA Expression Profiles for Psoriasis Patients Treated with Immune Therapies
por: Tian, Suyan, et al.
Publicado: (2021)

Anticoagulation, Bleeding, Mortality, and Pathology in Hospitalized Patients With COVID-19
por: Nadkarni, Girish N., et al.
Publicado: (2020)

Prevalence and Impact of Myocardial Injury in Patients Hospitalized With COVID-19 Infection
por: Lala, Anuradha, et al.
Publicado: (2020)

"Harshlighting" small blemishes on microarrays
por: Suárez-Fariñas, Mayte, et al.
Publicado: (2005)

cosinoRmixedeffects: an R package for mixed-effects cosinor models
por: Hou, Ruixue, et al.
Publicado: (2021)

Correction: cosinoRmixedeffects: an R package for mixed-effects cosinor models
por: Hou, Ruixue, et al.
Publicado: (2022)

Inflammation, Atherosclerosis, and Coronary Artery Disease: PET/CT for the Evaluation of Atherosclerosis and Inflammation
por: Alie, Nadia, et al.
Publicado: (2015)

Factors Associated With Trial Completion and Adherence in App-Based N-of-1 Trials: Protocol for a Randomized Trial Evaluating Study Duration, Notification Level, and Meaningful Engagement in the Brain Boost Study
por: Bobe, Jason R, et al.
Publicado: (2020)

Wavelet-based partial volume effect correction for simultaneous MR/PET of the carotid arteries
por: Bini, Jason, et al.
Publicado: (2014)

New methods to image unstable atherosclerotic plaques
por: Andrews, Jack P.M., et al.
Publicado: (2018)

Cannot write session to /tmp/vufind_sessions/sess_8pkcdtdehqcai8svkpjn80jlma