Cargando…

Developing the minimum data set of the corrosive ingestion registry system in Iran

BACKGROUND: Corrosive ingestion is still a major health problem, and its outcomes are often unpredicted. The implementation of a registry system for poisoning with corrosive substances may improve the quality of patient care and might be useful to manage this type of poisoning and its complications....

Descripción completa

Detalles Bibliográficos
Autores principales:	Mahmoudvand, Zahra, Shanbehzadeh, Mostafa, Shafiee, Mohsen, Kazemi-Arpanahi, Hadi
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	BioMed Central 2022
Materias:	Research
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9513958/ https://www.ncbi.nlm.nih.gov/pubmed/36167583 http://dx.doi.org/10.1186/s12913-022-08576-0

Ejemplares similares

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

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

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

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)

Development and evaluation of an electronic nursing documentation system
por: Shafiee, Mohsen, 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)

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

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

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

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

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

Using logistic regression to develop a diagnostic model for COVID-19: A single-center study
por: Nopour, Raoof, 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)

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

Development of a minimum data set for cardiac electrophysiology study ablation
por: Kazemi-Arpanahi, Hadi, et al.
Publicado: (2019)

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

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

Developing a Minimum Data Set (MDS) for Cardiac Electronic Implantable Devices Implantation
por: Kazemi-Arpanahi, Hadi, et al.
Publicado: (2018)

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

Developing A Minimum Data Set for A Rheumatoid Arthritis Registry in Iran
por: Langarizadeh, Mostafa, 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)

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

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)

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

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)

Predicting Risk of Mortality in COVID-19 Hospitalized Patients using Hybrid Machine Learning Algorithms
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)

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 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)

Developing a National Minimum Data Set for Kawasaki Disease Registry in Iran
por: Qazizadeh, Zainab, et al.
Publicado: (2022)

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

Determination of Minimum Data Set (MSD) in Echocardiography Reporting System to Exchange with Iran’s Electronic Health Record (EHR) System
por: Mahmoudvand, Zahra, et al.
Publicado: (2016)

Systematic review on telemedicine platforms in lockdown periods: Lessons learned from the COVID-19 pandemic
por: Shanbehzadeh, Mostafa, et al.
Publicado: (2021)

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

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

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

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)

Cannot write session to /tmp/vufind_sessions/sess_8ea7juru3bu5voeanmo5ppsve0