Cargando…

Deep-Learning Approach to Predict Survival Outcomes Using Wearable Actigraphy Device Among End-Stage Cancer Patients

Survival prediction is highly valued in end-of-life care clinical practice, and patient performance status evaluation stands as a predominant component in survival prognostication. While current performance status evaluation tools are limited to their subjective nature, the advent of wearable techno...

Descripción completa

Detalles Bibliográficos
Autores principales:	Yang, Tien Yun, Kuo, Pin-Yu, Huang, Yaoru, Lin, Hsiao-Wei, Malwade, Shwetambara, Lu, Long-Sheng, Tsai, Lung-Wen, Syed-Abdul, Shabbir, Sun, Chia-Wei, Chiou, Jeng-Fong
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	Frontiers Media S.A. 2021
Materias:	Public Health
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8695752/ https://www.ncbi.nlm.nih.gov/pubmed/34957004 http://dx.doi.org/10.3389/fpubh.2021.730150

Ejemplares similares

A Scoping Review to Assess Adherence to and Clinical Outcomes of Wearable Devices in the Cancer Population
por: Huang, Yaoru, et al.
Publicado: (2022)

Exploring the Potential Use of Wearable Devices as a Prognostic Tool among Patients in Hospice Care
por: Huang, Yaoru, et al.
Publicado: (2022)

COVID-19 preventive measures showing an unintended decline in infectious diseases in Taiwan
por: Galvin, Cooper J., et al.
Publicado: (2020)

Accelerating digital health literacy for the treatment of growth disorders: The impact of a massive open online course
por: Dimitri, Paul, et al.
Publicado: (2023)

Deep Learning Prediction Model for Patient Survival Outcomes in Palliative Care Using Actigraphy Data and Clinical Information
por: Huang, Yaoru, et al.
Publicado: (2023)

A recommender system to quit smoking with mobile motivational messages: study protocol for a randomized controlled trial
por: Hors-Fraile, Santiago, et al.
Publicado: (2018)

Diagnostic Accuracy of Ambulatory Devices in Detecting Atrial Fibrillation: Systematic Review and Meta-analysis
por: Yang, Tien Yun, et al.
Publicado: (2021)

Artificial-Intelligence-Based Prediction of Clinical Events among Hemodialysis Patients Using Non-Contact Sensor Data
por: Thakur, Saurabh Singh, et al.
Publicado: (2018)

Consumer Wearable Deployments in Actigraphy Research: Evaluation of an Observational Study
por: Duignan, Ciara, et al.
Publicado: (2019)

Clinical parameters for predicting radiation-induced liver disease after intrahepatic reirradiation for hepatocellular carcinoma
por: Huang, Yaoru, et al.
Publicado: (2016)

Virtual reality among the elderly: a usefulness and acceptance study from Taiwan
por: Syed-Abdul, Shabbir, et al.
Publicado: (2019)

Information Flow and Data Gaps in COVID-19 Recording and Reporting at National and Provincial Levels in Indonesia
por: Barsasella, Diana, et al.
Publicado: (2022)

Using artificial intelligence-based models to predict the risk of mucormycosis among COVID-19 survivors: An experience from a public hospital in India
por: Syed-Abdul, Shabbir, et al.
Publicado: (2022)

A Scoping Review and a Taxonomy to Assess the Impact of Mobile Apps on Cancer Care Management
por: Dhar, Eshita, et al.
Publicado: (2023)

Photoplethysmography Enabled Wearable Devices and Stress Detection: A Scoping Review
por: Namvari, Mina, et al.
Publicado: (2022)

A Participatory Design Approach to Develop Visualization of Wearable Actigraphy Data for Health Care Professionals: Case Study in Qatar
por: Khowaja, Kamran, et al.
Publicado: (2022)

Data Analytics and Applications of the Wearable Sensors in Healthcare: An Overview
por: Uddin, Mohy, et al.
Publicado: (2020)

PT663. Comparison of wearable activity tracker to actigraphy for sleep evaluation and circadian rhythm measurement.
por: Lee, Hyun-Ah, et al.
Publicado: (2016)

Actigraphy, the Alternative Way?
por: De Weerd, Al W.
Publicado: (2014)

pyActigraphy: Open-source python package for actigraphy data visualization and analysis
por: Hammad, Grégory, et al.
Publicado: (2021)

What wrist should you wear your actigraphy device on? Analysis of dominant vs. non-dominant wrist actigraphy for measuring sleep in healthy adults
por: Driller, Matthew William, et al.
Publicado: (2017)

The Performance of Patient-Worn Actigraphy Devices to Measure Recovery after Breast Reconstruction
por: Thuman, Jenna M, et al.
Publicado: (2019)

Arrhythmia Evaluation in Wearable ECG Devices
por: Sadrawi, Muammar, et al.
Publicado: (2017)

Nonparametric methods in actigraphy: An update
por: Gonçalves, Bruno S.B., et al.
Publicado: (2014)

Applicability of the actigraphy for astronauts in spaceflight
por: Kawada, Tomoyuki
Publicado: (2016)

Empowering Patients and Transforming Healthcare in the Post-COVID-19 Era: The Role of Digital and Wearable Technologies
por: Syed-Abdul, Shabbir, et al.
Publicado: (2023)

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

Comparison of Wearable Activity Tracker with Actigraphy for Sleep Evaluation and Circadian Rest-Activity Rhythm Measurement in Healthy Young Adults
por: Lee, Hyun-Ah, et al.
Publicado: (2017)

Wearable and implantable medical devices: applications and challenges
por: Dey, Nilanjan, et al.
Publicado: (2019)

Usability of Wearable Devices With a Novel Cardiac Force Index for Estimating the Dynamic Cardiac Function: Observational Study
por: Hsiao, Po-Jen, et al.
Publicado: (2020)

Actigraphy in Post Traumatic Stress Disorder
por: Khawaja, Imran S., et al.
Publicado: (2014)

Actigraphy in studies on insomnia: Worth the effort?
por: Rösler, Lara, et al.
Publicado: (2022)

Reenvisioning Traditional to Regenerative Therapeutic Advances in Managing Nonalcoholic Fatty Liver Disease in Diabetes Mellitus
por: Tsai, Lung-Wen, et al.
Publicado: (2021)

Making sense of sensors: end-to-end algorithms and infrastructure design from wearable-devices to data center
por: Tickoo, Omesh, et al.
Publicado: (2017)

Panic Attack Prediction Using Wearable Devices and Machine Learning: Development and Cohort Study
por: Tsai, Chan-Hen, et al.
Publicado: (2022)

End-to-end design of wearable sensors
por: Ates, H. Ceren, et al.
Publicado: (2022)

How to Make Reliable, Washable, and Wearable Textronic Devices
por: Tao, Xuyuan, et al.
Publicado: (2017)

On-Field Deployment and Validation for Wearable Devices
por: Kuo, Calvin, et al.
Publicado: (2022)

Validation of Self-Reported Sleep Against Actigraphy
por: Girschik, Jennifer, et al.
Publicado: (2012)

Outcomes of transcatheter aortic valve replacement for pure native aortic regurgitation with the use of newer- vs. early-generation devices
por: Yin, Wei-Hsian, et al.
Publicado: (2022)

Cannot write session to /tmp/vufind_sessions/sess_i90hkm9eghqn5pcg6gvs6484i6