Cargando…

Evaluating the Potential of Machine Learning and Wearable Devices in End-of-Life Care in Predicting 7-Day Death Events Among Patients With Terminal Cancer: Cohort Study

BACKGROUND: An accurate prediction of mortality in end-of-life care is crucial but presents challenges. Existing prognostic tools demonstrate moderate performance in predicting survival across various time frames, primarily in in-hospital settings and single-time evaluations. However, these tools ma...

Descripción completa

Detalles Bibliográficos
Autores principales:	Liu, Jen-Hsuan, Shih, Chih-Yuan, Huang, Hsien-Liang, Peng, Jen-Kuei, Cheng, Shao-Yi, Tsai, Jaw-Shiun, Lai, Feipei
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	JMIR Publications 2023
Materias:	Original Paper
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10474512/ https://www.ncbi.nlm.nih.gov/pubmed/37594793 http://dx.doi.org/10.2196/47366

Ejemplares similares

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

Telehealth-Based Family Conferences with Implementation of Shared Decision Making Concepts and Humanistic Communication Approach: A Mixed-Methods Prospective Cohort Study
por: Chou, Tzu-Jung, et al.
Publicado: (2021)

Preferences on the Timing of Initiating Advance Care Planning and Withdrawing Life-Sustaining Treatment between Terminally-Ill Cancer Patients and Their Main Family Caregivers: A Prospective Study
por: Lin, Cheng-Pei, et al.
Publicado: (2020)

Smartphone-Enabled, Telehealth-Based Family Conferences in Palliative Care During the COVID-19 Pandemic: Pilot Observational Study
por: Wu, Yu-Rui, et al.
Publicado: (2020)

Upregulation of cluster of differentiation 36 mRNA expression in peripheral blood mononuclear cells correlates with frailty severity in older adults
por: Lee, Chung‐Sheng, et al.
Publicado: (2022)

Smart Interactive Education System Based on Wearable Devices
por: Liang, Jia-Ming, et al.
Publicado: (2019)

Plasma vascular adhesion protein-1 levels correlate positively with frailty severity in older adults
por: Huang, Hsien-Liang, et al.
Publicado: (2020)

Acute Exacerbation of a Chronic Obstructive Pulmonary Disease Prediction System Using Wearable Device Data, Machine Learning, and Deep Learning: Development and Cohort Study
por: Wu, Chia-Tung, et al.
Publicado: (2021)

The Expression of Toll-Like Receptor 4 mRNA in PBMCs Is Upregulated in Smokers and Decreases Upon Smoking Cessation
por: Yeh, Hsin-Yu, et al.
Publicado: (2021)

Correlation between plasma ZAG and adiponectin in older adults: gender modification and frailty specificity
por: Lee, Ya-Ping, et al.
Publicado: (2021)

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

Accuracy of wrist-worn wearable devices for determining exercise intensity
por: Ho, Wei-Te, et al.
Publicado: (2022)

Machine Learning for Healthcare Wearable Devices: The Big Picture
por: Sabry, Farida, et al.
Publicado: (2022)

Characteristics of Harmonic Indexes of the Arterial Blood Pressure Waveform in Type 2 Diabetes Mellitus
por: Liao, Chen-Kai, et al.
Publicado: (2020)

Fall Recognition Based on an IMU Wearable Device and Fall Verification through a Smart Speaker and the IoT
por: Lin, Hsin-Chang, et al.
Publicado: (2023)

Machine learning-assisted flexible wearable device for tyrosine detection
por: Bao, Qiwen, et al.
Publicado: (2023)

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)

Shared Decision-Making Model for Adolescent Smoking Cessation: Pilot Cohort Study
por: Chen, Kuan-Lun, et al.
Publicado: (2021)

Towards On-Device Dehydration Monitoring Using Machine Learning from Wearable Device’s Data
por: Sabry, Farida, et al.
Publicado: (2022)

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

LPWAN and Embedded Machine Learning as Enablers for the Next Generation of Wearable Devices
por: Sanchez-Iborra, Ramon
Publicado: (2021)

Evolution of the Stethoscope: Advances with the Adoption of Machine Learning and Development of Wearable Devices
por: Kim, Yoonjoo, et al.
Publicado: (2023)

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

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

Inverse relationship of bone mineral density and serum level of N-terminal pro-B-type natriuretic peptide in peritoneal dialysis patients
por: Wang, Chih-Hsien, et al.
Publicado: (2016)

CT-Based Collision Prediction Software for External-Beam Radiation Therapy
por: Wang, Yu-Jen, et al.
Publicado: (2021)

Effectiveness of Palliative Care before Death in Reducing Emergency Care Utilization for Patients with Terminal Cancer and Trends in the Utilization of Palliative Care from 2005–2018
por: Tsai, Yi-Shiun, et al.
Publicado: (2023)

Augmented Reality-Centered Position Navigation for Wearable Devices with Machine Learning Techniques
por: Kamalam, G. K., et al.
Publicado: (2022)

Machine Learning Assisted Wearable Wireless Device for Sleep Apnea Syndrome Diagnosis
por: Wang, Shaokui, et al.
Publicado: (2023)

Wearable Device-Independent Next Day Activity and Next Night Sleep Prediction for Rehabilitation Populations
Publicado: (2020)

How many days are needed? Measurement reliability of wearable device data to assess physical activity
por: Hilden, Patrick, et al.
Publicado: (2023)

Shared decision making with oncologists and palliative care specialists effectively increases the documentation of the preferences for do not resuscitate and artificial nutrition and hydration in patients with advanced cancer: a model testing study
por: Huang, Hsien-Liang, et al.
Publicado: (2020)

Natural language processing and network analysis in patients withdrawing from life-sustaining treatments: a retrospective cohort study
por: Tsai, Wei-Chin, et al.
Publicado: (2022)

Primordial Prevention and Wearable Health Devices: The Wearables in Cardiology
por: Pellanda, Eduardo Campos, et al.
Publicado: (2016)

A Textile-Based Wearable Sensing Device Designed for Monitoring the Flexion Angle of Elbow and Knee Movements
por: Shyr, Tien-Wei, et al.
Publicado: (2014)

Deep-Learning Approach to Predict Survival Outcomes Using Wearable Actigraphy Device Among End-Stage Cancer Patients
por: Yang, Tien Yun, et al.
Publicado: (2021)

A Case of Placenta Prævia, Terminating in Death on the Thirteenth Day after Delivery
por: Hutchinson, W. F.
Publicado: (1872)

Human activity recognition of children with wearable devices using LightGBM machine learning
por: Csizmadia, Gábor, et al.
Publicado: (2022)

Facile Fabrication of Flexible Electrodes and Immobilization of Silver Nanoparticles on Nanoscale Silicate Platelets to Form Highly Conductive Nanohybrid Films for Wearable Electronic Devices
por: Huang, Peng-Yang, et al.
Publicado: (2019)

Wearable devices: monitoring the future?
por: Ioannidis, Diomidis C, et al.
Publicado: (2019)

Cannot write session to /tmp/vufind_sessions/sess_2pu389mtpskq6b1b2kppb3hagk