Libraries at University of Nebraska-Lincoln

 

Abstract

Diabetes Mellitus is a chronic disease which can be deadly if undetected for longer time. Artificial intelligence is helping in healthcare industry to a great extent by helping professionals to derive useful information and patterns from data available in various formats: Survey data, electronic health records, laboratory data.. Diabetes, if predicted at an early stage can help many people to save lives and cost for healthcare. Decision-making, diagnosing and predicting diabetes have become an increasing trend in recent years. There are numerous publications in diabetes prediction and yet it’s an ongoing research topic with availability of new data and methods. This study aims to provide a global picture on current status of diabetes prediction research field by analyzing trends in publications, authors, countries and institutions from Scopus and Web of Science database for the year 2009-2020. Further, to enhance the analysis, network inspection in terms of co-authorship, collaborative countries, citation analysis and keyword co-occurrences were explored. Tools like VoSviewer and tableau are used for analysis.

Share

COinS
 
 

To view the content in your browser, please download Adobe Reader or, alternately,
you may Download the file to your hard drive.

NOTE: The latest versions of Adobe Reader do not support viewing PDF files within Firefox on Mac OS and if you are using a modern (Intel) Mac, there is no official plugin for viewing PDF files within the browser window.