Machine learning is a subset of Artificial Intelligence when combined with Data Mining techniques plays a promising role in the field of prediction. We live in an era where data generation is exponential with time but if the generated data is not put to work or not converted to knowledge data, its generation is of no use. Similarly, in Healthcare also, data availability is high, so is the need to extract the information from it for better prognosis, diagnosis, treatment, drug development, and overall healthcare. In this research, we have tried to focus more on diagnosis of Diabetes disease, which is one of the fastest growing chronic diseases all over the world as declared by World Health Organization in the year 2014. We have also tried to show the different techniques like Gradient Boosting, Logistic Regression and Naive Bayes, which can be used for the diagnosis of diabetes disease with attained accuracy as 86% for the Gradient Boosting, 79% for Logistic Regression and 77% for Naive Bayes.
Information technology has tremendously influenced the world in almost every field be it business, education, defence, medical science and many more. In the last two decades researchers and business people are more focused on how we can use Information Technology for creating various advantages for a firm. It has been seen that cost of power utilized by the Information Technology departments is approximately 50% of the overall organizations' cost but with Green Information Technology it is expected that it should decrease the cost and its effect on the environment. The idea of Green Computing is the contemporary style that is increasing high regard. The primary theme of concern in green computing is to decrease the ecological effect of industrial processes along with the development in population bringing about imaginative advancements. Green Computing is an applicable approach that an IT department can use to add to the key and strategic corporate objectives. In this paper we have considered the impact of Information Technology on environment affecting the humans directly or indirectly. This paper also gives the background work on Green Computing and contribution of Green Information Technology to make environment more sustainable and free from hazardous materials.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
hi@scite.ai
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
Copyright © 2024 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.