نتائج البحث - "Sparshdeep Kaur"

1

Academic Journal

Remote Short Sessions of Heart Rate Variability Biofeedback Monitored With Wearable Technology: Open-Label Prospective Feasibility Study

المؤلفون: Robert P Hirten, Matteo Danieletto, Kyle Landell, Micol Zweig, Eddye Golden, Renata Pyzik, Sparshdeep Kaur, Helena Chang, Drew Helmus, Bruce E Sands, Dennis Charney, Girish Nadkarni, Emilia Bagiella, Laurie Keefer, Zahi A Fayad

المصدر: JMIR Mental Health, Vol 11, p e55552 (2024)

مصطلحات موضوعية: Psychology, BF1-990

وصف الملف: electronic resource

Relation: https://mental.jmir.org/2024/1/e55552; https://doaj.org/toc/2368-7959

URL الوصول: https://doaj.org/article/7711a01fa4e54d3396b8507eb9b4be5b

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2

Academic Journal

Factors Associated With Longitudinal Psychological and Physiological Stress in Health Care Workers During the COVID-19 Pandemic: Observational Study Using Apple Watch Data

المصدر: Journal of Medical Internet Research, Vol 23, Iss 9, p e31295 (2021)

مصطلحات موضوعية: Computer applications to medicine. Medical informatics, R858-859.7, Public aspects of medicine, RA1-1270

وصف الملف: electronic resource

Relation: https://www.jmir.org/2021/9/e31295; https://doaj.org/toc/1438-8871

URL الوصول: https://doaj.org/article/3f37a1c7c6014379848f566547428423

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3

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

المؤلفون: Robert P Hirten, Maria Suprun, Matteo Danieletto, Micol Zweig, Eddye Golden, Renata Pyzik, Sparshdeep Kaur, Drew Helmus, Anthony Biello, Kyle Landell, Jovita Rodrigues, Erwin P Bottinger, Laurie Keefer, Dennis Charney, Girish N Nadkarni, Mayte Suarez-Farinas, Zahi A Fayad

المصدر: JAMIA Open. 6

مصطلحات موضوعية: Health Informatics

URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_________::0115f3a9ce2b1e3b76f2fc99fffbaba6
https://doi.org/10.1093/jamiaopen/ooad029

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4

Evaluation of a machine learning approach utilizing wearable data for prediction of SARS-CoV-2 infection in healthcare workers

المؤلفون: Robert P Hirten, Lewis Tomalin, Matteo Danieletto, Eddye Golden, Micol Zweig, Sparshdeep Kaur, Drew Helmus, Anthony Biello, Renata Pyzik, Erwin P Bottinger, Laurie Keefer, Dennis Charney, Girish N Nadkarni, Mayte Suarez-Farinas, Zahi A Fayad

المصدر: JAMIA Open. 5

مصطلحات موضوعية: Health Informatics

URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::bf126128a32a9193131e382abf784bfc
https://doi.org/10.1093/jamiaopen/ooac041

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5

Evaluation of a Machine Learning Approach Utilizing Wearable Data for Prediction of SARS-CoV-2 Infection in Healthcare Workers

المؤلفون: Matteo Danieletto, Dennis S. Charney, Mayte Suárez-Fariñas, Lewis Tomalin, Eddye Golden, Renata Pyzik, Sparshdeep Kaur, Drew Helmus, Laurie Keefer, Micol Zweig, Zahi A. Fayad, Girish N. Nadkarni, Robert Hirten, Anthony Biello, Erwin P. Bottinger

مصطلحات موضوعية: Receiver operating characteristic, business.industry, Wearable computer, Machine learning, computer.software_genre, Confidence interval, Test (assessment), Health care, Medicine, Heart rate variability, Observational study, Artificial intelligence, business, computer, Wearable technology

URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_________::f573abd99cf86866d2683c2a31fd1361
https://doi.org/10.1101/2021.11.04.21265931

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6

Factors Associated With Longitudinal Psychological and Physiological Stress in Health Care Workers During the COVID-19 Pandemic: Observational Study Using Apple Watch Data (Preprint)

URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_________::0265240e5fada7d206927e4a917570de
https://doi.org/10.2196/preprints.31295

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7

Use of Physiological Data From a Wearable Device to Identify SARS-CoV-2 Infection and Symptoms and Predict COVID-19 Diagnosis: Observational Study

المصدر: Journal of Medical Internet Research, Vol 23, Iss 2, p e26107 (2021)
Journal of Medical Internet Research

مصطلحات موضوعية: Adult, Male, 0301 basic medicine, medicine.medical_specialty, Coronavirus disease 2019 (COVID-19), diagnosis, infectious disease, Health Personnel, physiological, Wearable computer, wearable device, Health Informatics, lcsh:Computer applications to medicine. Medical informatics, wearable, Wearable Electronic Devices, 03 medical and health sciences, COVID-19 Testing, 0302 clinical medicine, Heart Rate, Internal medicine, medicine, Humans, Heart rate variability, observational, 030212 general & internal medicine, Circadian rhythm, app, Original Paper, SARS-CoV-2, business.industry, lcsh:Public aspects of medicine, heart rate variability, COVID-19, lcsh:RA1-1270, prediction, symptom, Circadian Rhythm, Autonomic nervous system, 030104 developmental biology, data, identification, lcsh:R858-859.7, Female, Observational study, Metric (unit), business, Interbeat interval

URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e36f7d9c53e20512d4f58e19d8dfed1e
https://www.jmir.org/2021/2/e26107

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8

Factors Associated with Longitudinal Psychological and Physiological Stress in Health Care Workers During the COVID-19 Pandemic

المؤلفون: Drew Helmus, Anthony Biello, Robert Hirten, Lewis Tomalin, Girish N. Nadkarni, Dennis S. Charney, Eddye Golden, Katie Hyewon Choi, Zahi A. Fayad, Micol Zweig, Robert Freeman, Bruce E. Sands, Erwin P. Bottinger, Laurie Keefer, Claudia Calcogna, Matteo Danieletto, Renata Pyzik, Sparshdeep Kaur, Mayte Suarez Farinas

مصطلحات موضوعية: business.industry, media_common.quotation_subject, Stressor, Sequela, medicine.disease, Quality of life (healthcare), Pandemic, Health care, medicine, Heart rate variability, Observational study, Psychological resilience, business, Demography, media_common

URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_________::7a980fb55a7d75341698afe6692b2ba2
https://doi.org/10.1101/2020.12.21.20248593

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9

Use of Physiological Data From a Wearable Device to Identify SARS-CoV-2 Infection and Symptoms and Predict COVID-19 Diagnosis: Observational Study (Preprint)

URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_________::91d4034ac9ca74ca290c0d4f8f1e9219
https://doi.org/10.2196/preprints.26107

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10

Longitudinal Physiological Data from a Wearable Device Identifies SARS-CoV-2 Infection and Symptoms and Predicts COVID-19 Diagnosis

مصطلحات موضوعية: medicine.medical_specialty, Coronavirus disease 2019 (COVID-19), business.industry, Internal medicine, Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), Medicine, Heart rate variability, Wearable computer, Observational study, Circadian rhythm, business, Wearable technology, Interbeat interval

URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_________::c08b8c5296764be6a590465d237e57ba
https://doi.org/10.1101/2020.11.06.20226803

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