Volume 13 (2023)
Volume 12 (2022)
Volume 11 (2021)
Volume 10 (2020)
Volume 9 (2019)
Volume 8 (2018)
Volume 7 (2017)
Volume 6 (2016)
Volume 5 (2015)
Volume 4 (2014)
Volume 3 (2013)
Volume 2 (2012)
Volume 1 (1900)
Author = . Hadi Kazemi-Arpanahi
Number of Articles: 8
Predicting intubation risk among COVID‑19 hospitalized patients using artificial neural networks
Volume 13, Issue 1 , January 2023, , Pages 1-8
Abstract
BACKGROUND: Accurately predicting the intubation risk in COVID‑19 patients at the admissiontime is critical to optimal use of limited hospital resources, providing customized and ... Read More
Developing an artificial neural network for detecting COVID‑19 disease
Volume 12, Issue 1 , January 2022, , Pages 1-10
Abstract
BACKGROUND: From December 2019, atypical pneumonia termed COVID‑19 has been increasingexponentially across the world. It poses a great threat and challenge to world health and the ... Read More
Performance evaluation of selected machine learning algorithms for COVID‑19 prediction using routine clinical data: With versus Without CT scan features
Volume 11, Issue 7 , August 2021, , Pages 1-11
Abstract
BACKGROUND: Given coronavirus disease (COVID‑19’s) unknown nature, diagnosis, and treatmentis very complex up to the present time. Thus, it is essential to have a framework ... Read More
Systematic review on telemedicine platforms in lockdown periods: Lessons learned from the COVID‑19 pandemic
Volume 11, Issue 5 , June 2021, , Pages 1-10
Abstract
With the onset of the coronavirus disease 2019 (COVID‑19) outbreak, the transformation of the caredelivery model from conventional in-person (face to face) to largely virtual or remote ... Read More
Notifiable diseases interoperable framework toward improving Iran public health surveillance system: Lessons learned from COVID‑19 pandemic
Volume 11, Issue 4 , May 2021, , Pages 1-11
Abstract
BACKGROUND: Direct transmission of notifiable disease information in a real‑time and reliable wayto public health decision‑makers is imperative for early identification of epidemiological ... Read More
Data integration in cardiac electrophysiology ablation toward achieving proper interoperability in health information systems
Volume 10, Issue 10 , October 2020, , Pages 1-9
Abstract
INTRODUCTION: Providing information exchange and collaboration between isolated informationsystems (ISs) is essential in the health‑care environments. In this context, we aimed to ... Read More
Coronavirus disease 2019 (COVID-19) surveillance system: Development of COVID-19 minimum data set and interoperable reporting framework
Volume 10, Issue 8 , August 2020, , Pages 1-11
Abstract
INTRODUCTION: The 2019 coronavirus disease (COVID‑19) is a major global health concern. Jointefforts for effective surveillance of COVID‑19 require immediate transmission of reliable ... Read More
Improving hypertension surveillance from a data management prospective: Data requirements for implementation of population-based registry
Volume 10, Issue 6 , June 2020, , Pages 1-8