Abstract The ongoing pandemic of Corona-Virus (COVID-19) induced by the coming forth category of SARS-CoV-2, has terrified worldwide human health. Primarily, COVID-19 challenges can be categorized into (a) way of […]
Abstract Effective pain management can significantly improve the quality of life and outcomes for various types of patients(e.g. elderly, adult, young) and often requires assisted living for a significant number
Abstract The first cases of COVID-19 were reported in China in Dec 2019, quickly spreading to other parts of the world leading to a global pandemic. A number of potential
Abstract Goal: The aim of the study herein reported was to review mobile health (mHealth) technologies and explore their use to monitor and mitigate the effects of the COVID-19 pandemic.
Can mHealth Technology Help Mitigate the Effects of the COVID-19 Pandemic? Read More »
Abstract As the number of data in various industries and government sectors is growing exponentially, the ‘7V’ concept of big data aims to create new value by indiscriminately collecting and
De-identification and Privacy Issues on Bigdata Transformation Read More »
Abstract The diagnosis of heart disease by the classical medical approach takes a huge amount of time. Besides blood tests and X-ray, this approach includes multiple tests like MRI, Echocardiogram,
A Comparative Study on Machine Learning and Artificial Neural Networking Algorithms Read More »
Abstract In today’s economic scenario, credit card use has become extremely commonplace. These cards allow the user to make payments of large sums of money without the need to carry
Supervised Machine Learning Algorithms for Credit Card Fraud Detection: A Comparison Read More »
Abstract The multidisciplinary approach of artificial intelligence is revolutionizing the traditional technologies used in medical image computing, radiology imaging, medical diagnoses, and features based disease identification [1], [2]. In this
Abstract Machine learning (ML) based forecasting mechanisms have proved their significance to anticipate in perioperative outcomes to improve the decision making on the future course of actions. The ML models
COVID-19 Future Forecasting Using Supervised Machine Learning Models Read More »
