Cargando…

Establishing a minimum data set for suicide and attempted suicide registry system in Iran

BACKGROUND: Suicidal behavior is a major cause of mortality and disability worldwide. Accurate and consistent collection of data on suicide, suicide ideation, and suicide attempts presents many challenges for public health practitioners, policymakers, and researchers. This study aimed to establish a...

Descripción completa

Detalles Bibliográficos
Autores principales:	Shafiee, Mohsen, Shanbehzadeh, Mostafa, 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/PMC9052659/ https://www.ncbi.nlm.nih.gov/pubmed/35484542 http://dx.doi.org/10.1186/s12889-022-13276-9

Ejemplares similares

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

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

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)

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

Predictive modeling for COVID-19 readmission risk using machine learning algorithms
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)

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

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

Data integration in cardiac electrophysiology ablation toward achieving proper interoperability in health information systems
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)

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

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 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)

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

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

Establishing machine learning models to predict the early risk of gastric cancer based on lifestyle factors
por: Afrash, Mohammad Reza, et al.
Publicado: (2023)

Suicide and Attempted Suicide
por: Kessel, Neil
Publicado: (1966)

Developing an artificial neural network for detecting COVID-19 disease
por: Shanbehzadeh, Mostafa, 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)

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

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

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

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

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

Developing A Minimum Data Set for A Rheumatoid Arthritis Registry in Iran
por: Langarizadeh, Mostafa, et al.
Publicado: (2022)

Epidemiology of suicide and suicide attempts in Jahrom district, Southern Iran in light of COVID pandemic: A prospective observational study
por: Sefid Fard Jahromi, Mina, 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)

Spatiotemporal clustering of suicide attempt in Kermanshah, West-Iran
por: Zangeneh, Alireza, et al.
Publicado: (2023)

Suicide Attempt and Suicide Death in Iran: A Systematic Review and Meta-Analysis Study
por: Asadiyun, Mahboobeh, et al.
Publicado: (2023)

A longitudinal study of suicide and suicide attempt in northwest of Iran: incidence, predictors, and socioeconomic status and the role of sociocultural status
por: Fakhari, Ali, 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 the breast cancer risk prediction system using hybrid machine learning algorithms
por: Afrash, Mohammad R., et al.
Publicado: (2022)

Establishing a minimum data set for Parkinson's (PMDS) in Iran
por: Chitsaz, Ahmad, et al.
Publicado: (2022)

Trends of Suicide Attempts and Completed Suicide in Ilam Province of Iran; A Demographic Analysis Study
por: Veisani, Yousef, et al.
Publicado: (2018)

Cannot write session to /tmp/vufind_sessions/sess_bod2kcoq9ep9aisi3oc0n6h4tl