The human disease prediction is specifically a struggling piece of work for an accurate and on time treatment. Around the world, diabetes is a hazardous disease. It affects the various essential organs of the human body, for example, nerves, retinas, and eventually heart. By using models of machine learning algorithms, we can recommend and predict diabetes on various healthcare datasets more accurately with the assistance of an intelligent healthcare recommendation system. Not long ago, for the prediction of diabetes, numerous models and methods of machine learning have been introduced. But despite that, enormous multi-featured healthcare datasets cannot be handled by those systems appropriately. By using Machine Learning, an intelligent healthcare recommendation system is introduced for the prediction of diabetes. Ultimately, the model of machine learning is trained to predict this disease along with K-Fold Cross validation testing.  The evaluation of this intelligent and smart recommendation system is depending on datasets of diabetes and its execution is differentiated from the latest development of previous literatures. Our system accomplished 99.0% of efficiency with the shortest time of 12 Milliseconds, which is highly analyzed by the previous existing models of machine learning. Consequently, this recommendation system is superior for the prediction of diabetes than the previous ones. This system enhances the performance of automatic diagnosis of this disease. Code is available at (https://github.com/RaoHassanKaleem/Diebetes-Detection-using-Machine-Learning-Algorithms).

The COVID-19 pandemic has unprecedentedly affected life on earth ever since it broke out in 2019. The World Health Organization (WHO) has confirmed 7.5 million COVID-19 positive cases and 430,241 deaths caused by the novel disease, due to which quarantine was imposed on hundreds of thousands of people around the globe . It has not only negatively affected businesses and economies, but it has also shaken the foundation of the technology-driven society because of the rise in cybercrime. For this reason, the techniques and methods used by cyber-criminals and their handiwork is being analyzed, worldwide. Cybercrime has also challenged the information system of healthcare, greatly affecting pharmaceutical firms, hospitals, and various health departments in the US, as well asWHO and many other firms. This paper highlights the range of cybercrimes committed worldwide during the pandemic by presenting an outline of the incidents during the COVID-19 pandemic. INDEX TERMS: COVID-19, cybercrime, cyber security, healthcare, work from home