Cargando…

Machine learning COVID-19 detection from wearables

Detalles Bibliográficos
Autores principales:	Nestor, Bret, Hunter, Jaryd, Kainkaryam, Raghu, Drysdale, Erik, Inglis, Jeffrey B, Shapiro, Allison, Nagaraj, Sujay, Ghassemi, Marzyeh, Foschini, Luca, Goldenberg, Anna
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	The Author(s). Published by Elsevier Ltd. 2023
Materias:	Comment
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10032660/ https://www.ncbi.nlm.nih.gov/pubmed/36963907 http://dx.doi.org/10.1016/S2589-7500(23)00045-6

Ejemplares similares

Machine learning and health need better values
por: Ghassemi, Marzyeh, et al.
Publicado: (2022)

Assessment of Machine Learning–Based Medical Directives to Expedite Care in Pediatric Emergency Medicine
por: Singh, Devin, et al.
Publicado: (2022)

Machine intelligence in healthcare—perspectives on trustworthiness, explainability, usability, and transparency
por: Cutillo, Christine M., et al.
Publicado: (2020)

In medicine, how do we machine learn anything real?
por: Ghassemi, Marzyeh, et al.
Publicado: (2022)

What do medical students actually need to know about artificial intelligence?
por: McCoy, Liam G., et al.
Publicado: (2020)

The PLOS ONE collection on machine learning in health and biomedicine: Towards open code and open data
por: Celi, Leo A., et al.
Publicado: (2019)

From Clinic to Computer and Back Again: Practical Considerations When Designing and Implementing Machine Learning Solutions for Pediatrics
por: Nagaraj, Sujay, et al.
Publicado: (2020)

Ensuring machine learning for healthcare works for all
por: McCoy, Liam G, et al.
Publicado: (2020)

Characterization of Influenza-Like Illness Burden Using Commercial Wearable Sensor Data and Patient-Reported Outcomes: Mixed Methods Cohort Study
por: Hunter, Victoria, et al.
Publicado: (2023)

An Alternative to the Light Touch Digital Health Remote Study: The Stress and Recovery in Frontline COVID-19 Health Care Workers Study
por: Goodday, Sarah M, et al.
Publicado: (2021)

Correction: An Alternative to the Light Touch Digital Health Remote Study: The Stress and Recovery in Frontline COVID-19 Health Care Workers Study
por: Goodday, Sarah M, et al.
Publicado: (2022)

Wearable ultrasound and provocative hemodynamics: a view of the future
por: Kenny, Jon-Émile S., et al.
Publicado: (2022)

Estimating the Burden of Influenza-like Illness on Daily Activity at the Population Scale Using Commercial Wearable Sensors
por: Mezlini, Aziz, et al.
Publicado: (2022)

Machine learning for chemical discovery
por: Tkatchenko, Alexandre
Publicado: (2020)

Equity in essence: a call for operationalising fairness in machine learning for healthcare
por: Wawira Gichoya, Judy, et al.
Publicado: (2021)

Uncovering mechanisms to prevent dementia with quantifiable feedback from wearable devices
por: Wen, Chi Pang, et al.
Publicado: (2022)

Mitigating bias in machine learning for medicine
por: Vokinger, Kerstin N., et al.
Publicado: (2021)

Neuroethics at the interface of machine learning and schizophrenia
por: McFarlane, Jacob, et al.
Publicado: (2020)

Machine learning and earthquake forecasting—next steps
por: Beroza, Gregory C., et al.
Publicado: (2021)

Retrospective on a decade of machine learning for chemical discovery
por: von Lilienfeld, O. Anatole, et al.
Publicado: (2020)

Machine learning for COVID-19—asking the right questions
por: Bachtiger, Patrik, et al.
Publicado: (2020)

Machine learning for psychiatry: getting doctors at the black box?
por: Hedderich, Dennis M., et al.
Publicado: (2020)

Paediatric virology and medical terminology
por: Mammas, Ioannis N., et al.
Publicado: (2020)

Viruses, vaccinations and RSV: Exploring terminology in paediatric virology
por: Mammas, Ioannis N., et al.
Publicado: (2020)

Machine learning assessment of risk factors for depression in later adulthood
por: Zhang, Fengqing, et al.
Publicado: (2022)

From models to tools: clinical translation of machine learning studies in psychosis
por: Mechelli, Andrea, et al.
Publicado: (2020)

The ghost and the machine
por: Jobling, Mark A
Publicado: (2010)

COVID-19, structural racism, and migrant health in Canada
por: Tuyisenge, Germaine, et al.
Publicado: (2021)

The wearable defibrillator: a most affordable vest
por: de Groot, J. R.
Publicado: (2017)

Machine learning-based global maps of ecological variables and the challenge of assessing them
por: Meyer, Hanna, et al.
Publicado: (2022)

Implementing machine learning in medicine
por: Verma, Amol A., et al.
Publicado: (2021)

Licensure laws and other barriers to telemedicine and telehealth: an urgent need for reform
por: Raghu, Ganesh, et al.
Publicado: (2023)

Presenting machine learning model information to clinical end users with model facts labels
por: Sendak, Mark P., et al.
Publicado: (2020)

COVID-19 interstitial pneumonia: monitoring the clinical course in survivors
por: Raghu, Ganesh, et al.
Publicado: (2020)

Telemedicine — maintaining quality during times of transition
por: Romanick-Schmiedl, Sue, et al.
Publicado: (2020)

The emerging roles of exosomes in the modulation of immune responses in cancer
por: Kurywchak, Paul, et al.
Publicado: (2018)

Finding the potency in planarians
por: Pearson, Bret J.
Publicado: (2022)

Problems in the deployment of machine-learned models in health care
por: Cohen, Joseph Paul, et al.
Publicado: (2021)

Deterrence-based asylum policies exacerbate health inequities among women and children seeking safety at the US–Mexico border
por: Stirling-Cameron, Emma, et al.
Publicado: (2023)

A novel EVER1 polymorphism of epidermodysplasia verruciformis: Homozygous TMC6 c.718del
por: Kenny, Bret, et al.
Publicado: (2022)

Cannot write session to /tmp/vufind_sessions/sess_3gch4djd16758hc738nbfdt58u