Systematic review of content analysis algorithms based on deep neural networks.

Today according to social media, the internet, Etc. Data is rapidly produced and occupies a large space in systems that have resulted in enormous data warehouses; the progress in information technology has significantly increased the speed and ease of data flow.text mining is one of the most important methods for extracting a useful model through extracting and adapting knowledge from data sets.

Self-Service Registry Log Builder: A Case Study in National Trauma Registry of Iran.

Background: Although the process-mining algorithms have evolved in the past decade, the lack of attention to extracting event logs from raw data of databases in an automatic manner is evident. These logs are available in a process-oriented manner in the process-aware information systems. Still, there are areas where their extraction is a challenge to address (e.

Prevalence of Internet Addiction in Iran: A Systematic Review and Meta-analysis.

Background: The internet has unique properties that include ease of access, ease of use, low cost, anonymity, and its attractiveness which resulted in problems such as internet addiction. Different statistics has been reported about internet addiction rate, but there is not a suitable estimation about the growth of Internet addiction in Iran. The aim of this study is to analyze the growth of Internet addiction in Iran using meta-analysis method.