Cargando…

Systematic review on telemedicine platforms in lockdown periods: Lessons learned from the COVID-19 pandemic

With the onset of the coronavirus disease 2019 (COVID-19) outbreak, the transformation of the care delivery model from conventional in-person (face to face) to largely virtual or remote care has been accelerated to appropriately allocate resources and constrain the spread of the virus. In this regar...

Descripción completa

Detalles Bibliográficos
Autores principales:	Shanbehzadeh, Mostafa, Kazemi-Arpanahi, Hadi, Kalkhajeh, Sasan Ghorbani, Basati, Gholam
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	Wolters Kluwer - Medknow 2021
Materias:	Review Article
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8318195/ https://www.ncbi.nlm.nih.gov/pubmed/34395648 http://dx.doi.org/10.4103/jehp.jehp_1419_20

Ejemplares similares

Notifiable diseases interoperable framework toward improving Iran public health surveillance system: Lessons learned from COVID-19 pandemic
por: Shanbehzadeh, Mostafa, et al.
Publicado: (2021)

Predicting the Need for Intubation among COVID-19 Patients Using Machine Learning Algorithms: A Single-Center Study
por: Nopour, Raoof, et al.
Publicado: (2022)

Using an adaptive network-based fuzzy inference system for prediction of successful aging: a comparison with common machine learning algorithms
por: Yazdani, Azita, et al.
Publicado: (2023)

Prediction of successful aging using ensemble machine learning algorithms
por: Asghari Varzaneh, Zahra, et al.
Publicado: (2022)

Development of minimal basic data set to report COVID-19
por: Shanbehzadeh, Mostafa, et al.
Publicado: (2020)

Predicting Risk of Mortality in COVID-19 Hospitalized Patients using Hybrid Machine Learning Algorithms
por: Afrash, Mohammad Reza, et al.
Publicado: (2022)

Internet of Things (IoT) Adoption Model for Early Identification and Monitoring of COVID-19 Cases: A Systematic Review
por: Shanbehzadeh, Mostafa, et al.
Publicado: (2022)

Predictive modeling for COVID-19 readmission risk using machine learning algorithms
por: Shanbehzadeh, Mostafa, et al.
Publicado: (2022)

Survey of the patients' perspectives and preferences in adopting telepharmacy versus in-person visits to the pharmacy: a feasibility study during the COVID-19 pandemic
por: Moulaei, Khadijeh, et al.
Publicado: (2022)

Comparing machine learning algorithms for predicting COVID-19 mortality
por: Moulaei, Khadijeh, et al.
Publicado: (2022)

Comparing machine learning algorithms to predict 5-year survival in patients with chronic myeloid leukemia
por: Shanbehzadeh, Mostafa, et al.
Publicado: (2022)

Design and development of a web‐based registry for Coronavirus (COVID‐19) disease
por: Kazemi-Arpanahi, Hadi, et al.
Publicado: (2020)

Performance evaluation of selected decision tree algorithms for COVID-19 diagnosis using routine clinical data
por: Shanbehzadeh, Mostafa, et al.
Publicado: (2021)

Developing an artificial neural network for detecting COVID-19 disease
por: Shanbehzadeh, Mostafa, et al.
Publicado: (2022)

Establishing a minimum data set for suicide and attempted suicide registry system in Iran
por: Shafiee, Mohsen, et al.
Publicado: (2022)

Developing a clinical decision support system based on the fuzzy logic and decision tree to predict colorectal cancer
por: Nopour, Raoof, et al.
Publicado: (2021)

Using decision tree algorithms for estimating ICU admission of COVID-19 patients
por: Shanbehzadeh, Mostafa, et al.
Publicado: (2022)

Design of an artificial neural network to predict mortality among COVID-19 patients
por: Shanbehzadeh, Mostafa, et al.
Publicado: (2022)

Using logistic regression to develop a diagnostic model for COVID-19: A single-center study
por: Nopour, Raoof, et al.
Publicado: (2022)

Design and Development of an Intelligent System for Predicting 5-Year Survival in Gastric Cancer
por: Afrash, Mohammad Reza, et al.
Publicado: (2022)

Performance evaluation of selected machine learning algorithms for COVID-19 prediction using routine clinical data: With versus Without CT scan features
por: Shanbehzadeh, Mostafa, et al.
Publicado: (2021)

Predicting hospital readmission risk in patients with COVID-19: A machine learning approach
por: Afrash, Mohammad Reza, et al.
Publicado: (2022)

Developing the breast cancer risk prediction system using hybrid machine learning algorithms
por: Afrash, Mohammad R., et al.
Publicado: (2022)

Data integration in cardiac electrophysiology ablation toward achieving proper interoperability in health information systems
por: Kazemi-Arpanahi, Hadi, et al.
Publicado: (2020)

Development and evaluation of an electronic nursing documentation system
por: Shafiee, Mohsen, et al.
Publicado: (2022)

Performance analysis of data mining algorithms for diagnosing COVID-19
por: Nopour, Raoof, et al.
Publicado: (2021)

Design, development, and evaluation of a surveillance system for suicidal behaviors in Iran
por: Shafiee, Mohsen, et al.
Publicado: (2022)

Developing the minimum data set of the corrosive ingestion registry system in Iran
por: Mahmoudvand, Zahra, et al.
Publicado: (2022)

Comparing artificial neural network training algorithms to predict length of stay in hospitalized patients with COVID-19
por: Orooji, Azam, et al.
Publicado: (2022)

Factors influencing quality of life among the elderly: An approach using logistic regression
por: Ahmadi, Maryam, et al.
Publicado: (2023)

Diagnosis and Treatment of Coagulopathy Caused by the New Coronavirus: A Systematic Review and Meta-Analysis Protocol
por: Abbasian, Sadegh, et al.
Publicado: (2023)

Which are best for successful aging prediction? Bagging, boosting, or simple machine learning algorithms?
por: Mirzaeian, Razieh, et al.
Publicado: (2023)

Coronavirus disease 2019 (COVID-19) surveillance system: Development of COVID-19 minimum data set and interoperable reporting framework
por: Shanbehzadeh, Mostafa, et al.
Publicado: (2020)

Association of chest CT severity score with mortality of COVID-19 patients: a systematic review and meta-analysis
por: Zakariaee, Seyed Salman, et al.
Publicado: (2022)

Improving hypertension surveillance from a data management prospective: Data requirements for implementation of population-based registry
por: Shanbehzadeh, Mostafa, et al.
Publicado: (2020)

Telemedicine Lessons Learned During the COVID-19 Pandemic
por: Greiwe, Justin
Publicado: (2022)

Utilization obstacles to hypertension services provided at comprehensive health centers: a content analysis study
por: Faraji-Khiavi, Farzad, et al.
Publicado: (2023)

Distance learning and telemedicine in the area of Otorhinolaryngology: lessons in times of pandemic()
por: Machado Júnior, Almiro José, et al.
Publicado: (2020)

Predicting intubation risk among COVID-19 hospitalized patients using artificial neural networks
por: Nopour, Raoof, et al.
Publicado: (2023)

Use of telemedicine in obstetrics and gynaecology in Zimbabwe during a lockdown period
por: Moyo, Jephat, et al.
Publicado: (2020)

Cannot write session to /tmp/vufind_sessions/sess_o6000r95qmrbqi8fg2ec7n2b9i