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Conversion from paper-based medical records to electronic Health Records provides significant benefits to healthcare. However, there are some challenges perceived by healthcare providers when implementing Electronic Health Records. This paper aims to present some guidelines to overcome barriers associated with implementing Electronic Health Records in developing countries. This paper also presents an overview of Electronic Health Records Barriers discussed in several studies and review some studies performed in developing countries to explore the implementation barriers of the Electronic Health Records.

The Online Social Networks (OSN) have a great role in increasing the communication among people. Their role never stops as they have become the way to share information and the real-time news. However, their unprecedented success has also attracted the attention of hackers, who use OSN to spread spam and malicious contents. Hackers have found a good environment, which is compatible with their goals in terms of widespread reach to the largest number of victims or even spreading large propaganda in a very short time. All this can be done using OSN. The presence of spam and malicious contents on OSN may lead to people's aversion from these sites. This research tackles this phenomenon by introducing Flexible Malicious Accounts Detector (FMAD) solution, which can detect malicious and spam accounts using predefined features. Additionally, FMDA can identify newly emerging features and classify them as either normal or abnormal. Moreover, FMDA can recognize malicious accounts campaigns.Therefore, the presented solution performs better than all previous approaches that cannot deal with new emerging features. For this purpose, FMAD uses both supervised and unsupervised machine learning techniques. The experiment shows that FMAD results in accuracy reaching 99.75 %. General TermsSecurity